{"id":2282,"date":"2023-04-02T10:00:03","date_gmt":"2023-04-02T10:00:03","guid":{"rendered":"https:\/\/fellowshipbard.com\/?p=2282"},"modified":"2023-04-02T12:57:16","modified_gmt":"2023-04-02T12:57:16","slug":"17-postdoctoral-fellowships-at-university-of-leeds-england","status":"publish","type":"post","link":"https:\/\/fellowshipbard.com\/17-postdoctoral-fellowships-at-university-of-leeds-england\/","title":{"rendered":"17 Postdoctoral Fellowships at University of Leeds, England"},"content":{"rendered":"
Are you holding PhD degree and looking for Postdoctoral Fellowships? University of Leeds, England invites multiple online application for Postdoctoral Fellowships in various research areas. Candidates interested in Postdoctoral Fellowships can check the details and may apply as soon as possible.<\/span><\/p>\n Are you a computer scientist with an interest in stochastic modelling within a causal inference framework? Are you interested in applying stochastic dynamical techniques to data science? Are you a hands-on software developer with experience in C\/C++, Python, R and CUDA? <\/span><\/p>\n This project will investigate the improvement of standard prediction methods in statistics. Traditional prediction methods often ignore the existence of subpopulations in the data and so-called \u2018enigmatic variation\u2019 \u2013 the idea that otherwise identical individuals can follow considerably different trajectories based on noise they experienced at some point. You will investigate the improvement of prediction methods within a casual inference framework that allows the inclusion of context-dependent information and that takes account of how the data were generated.<\/span><\/p>\n Application Deadline:<\/span> <\/span><\/strong>28 April 2023<\/span><\/span><\/p>\n More Details<\/strong><\/span><\/a><\/p>\n Are you an ambitious geophysicist looking for an innovative research challenge? Would you like to apply geophysical expertise to the exploration and development of urban geothermal resources? This could be the research position for you! <\/span><\/p>\n Funded by the UK Natural Environment Research Council (NERC), our SmartRes project (Smart assessment, management and optimsation of urban geothermal resources) advances our understanding of geothermal systems and ultimately aims to broaden their uptake for urban energy supply. Working as part of a multi-disciplinary project team, featuring engineers, hydrologists, numerical modellers and policy liaisons from a number of UK institutes, you will contribute your expertise in field monitoring including seismic acquisition and analysis to the understanding of how geothermal systems evolve under realistic production scenarios. <\/span><\/p>\n Application Deadline:<\/span> <\/span><\/strong>26 April 2023<\/span><\/span><\/p>\n More Details<\/strong><\/span><\/a><\/p>\n <\/p>\n Follow FellowshipBard for daily updates! <\/span><\/strong><\/span><\/p>\n Facebook<\/span><\/strong><\/a><\/span><\/p>\n Twitter<\/span><\/strong><\/a><\/span><\/p>\n Linkedin<\/span><\/strong><\/a><\/span><\/p>\n <\/p>\n The successful applicant will join the Colour Technology Research Group, the School of Design, is a world leading research centre with a focus in creativity and developing innovative materials and manufacturing solutions with interdisciplinary researchers and industrial partners. You will join an experienced, innovative and diverse team and will be actively involved in research, producing high quality publications and contributing to the School\u2019s Research Excellence Framework (REF). <\/span><\/p>\n Application Deadline:<\/span> <\/span><\/strong>16 April 2023<\/span><\/span><\/p>\n More Details<\/strong><\/span><\/a><\/p>\n We are seeking an enthusiastic and skilled researcher to work on innovative research projects applying knowledge of textile science and technology to undertake research in the field of innovative and sustainable textile manufacturing. The role encompasses three main areas of support: research, teaching and lab\/workshop operational management. You will work closely with the Director of Research and with various academics in the School, playing a key role in their projects by carrying out research in the areas of fibre, yarn, and fabric (knitted\/woven), and other areas if applicable. You will engage in all aspects of research and will be also involved in the analysis and dissemination of the research findings. <\/span><\/p>\n Application Deadline:<\/span> <\/span><\/strong>16 April 2023<\/span><\/span><\/p>\n More Details<\/strong><\/span><\/a><\/p>\n This Knowledge Transfer Partnership (KTP) position is part of an exciting collaboration between Unilever, Dr Keeran Ward and Prof. John Blacker at the University of Leeds, through Innovate UK. It is based at Unilever\u2019s Port Sunlight R&D site, Wirral with occasional work at the Materials Innovation Factory, Liverpool and at the University of Leeds. The job holder (KTP Associate) should have relevant experience and strong interests in Process Systems engineering and Sustainability. The role will be ideal for a driven, hard-working, and enthusiastic individual with excellent interpersonal skills willing to learn and collaborate with a vibrant and dynamic team of researchers across the University of Leeds and Unilever to help revolutionise Unilever\u2019s sustainable packaging.<\/span><\/p>\n Application Deadline:<\/span> <\/span><\/strong>Open Until Filled<\/span><\/span><\/p>\n More Details<\/strong><\/span><\/a><\/p>\n <\/p>\n The University of Leeds has an exciting opportunity for you to \u2018fast-track\u2019 your career in industry by leading a high-profile, strategically important project from start to completion. Through a Knowledge Transfer Partnership (KTP), you will work in with an industry leading company in Aeroservices Ltd., and a cutting-edge team of academics at the Schools of Molecular and Cellular Biology and Chemical and Process Engineering to develop a novel fuel testing kit that overtakes the current market leader by offering microbial contamination specificity as well as greater sensitivity, robustness, in-field deployability, accuracy, and cost-effectiveness.<\/span><\/p>\n Application Deadline:<\/span> <\/span><\/strong>12 April 2023<\/span><\/span><\/p>\n More Details<\/strong><\/span><\/a><\/p>\n <\/p>\n A Research Fellow is sought to join the preclinical MR team at UoL. You will be responsible for implementation and testing of optimised MRI \/ MRF pulse sequences on a Bruker 7T MR system, for optimisation of the protocol for scanning ex vivo tissue samples, and for co-ordinating the acquisition of microscopy data, including segmentation\/labelling of microscopy volumes. This post is funded by a major MRC-funded research project, held by Prof Derek Jones (Cardiff University). The post is initially funded for 18 months.<\/span><\/p>\n Application Deadline:<\/span> <\/span><\/strong>12 April 2023<\/span><\/span><\/p>\n More Details<\/strong><\/span><\/a><\/p>\n <\/p>\n An opportunity has arisen for an enthusiastic Research Fellow to work on a charity-funded research study developing a remote osteoarthritis peer-mentorship programme for people experiencing socioeconomic disadvantage. This is an exciting and novel project focusing on musculoskeletal inequalities by working with communities and people experiencing socioeconomic disadvantage to understand engagement issues with a remote peer-mentorship intervention. We will develop the remote osteoarthritis peer-mentorship intervention; train volunteers to deliver the intervention and assess its acceptability and other implementation issues for this target group. <\/span><\/p>\n Application Deadline:<\/span> <\/span><\/strong>Open Until Filled<\/span><\/span><\/p>\n More Details<\/strong><\/span><\/a><\/p>\n <\/p>\n The Clinical Trials Research Unit (CTRU) is an international leader in the field of clinical trials. The Unit is one of the largest in the UK and conducts national and international early phase and late phase clinical trials in a variety of clinical fields. Our main aim is to develop and support novel and efficient trials to change clinical practice for the better. Our past results and current research have already helped to do this. Our results inform the academic development of this specialised field of clinical research on a national and international level. Particularly, we specialise in complex phase III trials, early phase I\/II trials, biomarker-driven designs, seamless phase II\/III designs, adaptive designs and the development, optimisation and evaluation of complex interventions, including cluster randomised and complex factorial designs.<\/span><\/p>\n Application Deadline:<\/span> <\/span><\/strong>Open Until Filled<\/span><\/span><\/p>\n More Details<\/strong><\/span><\/a><\/p>\n Are you an ambitious researcher looking for your next challenge? Do you have an established background in 3D reconstruction using computer vision? Do you have a passion to apply this knowledge within the process engineering domain? Do you want to further your career in one of the UK\u2019s leading research-intensive Universities? <\/span><\/p>\n You will be a member of the team of an EPSRC funded multidisciplinary research project: Advanced Crystal Shape Descriptors for Precision Particulate Design, Characterisation and Processing (Shape4PPD). The research work is led by the University of Leeds (Schools of Computing and Chemical & Process Engineering) and involves collaboration with AstraZeneca, Cambridge Crystallographic Data Centre (CCDC), F. Hoffmann-La Roche (International), Infineum UK Ltd, Imperial College London, Keyence (UK) Ltd, Pfizer, Syngenta, Universities of Hertfordshire and Strathclyde. <\/span><\/p>\n1. Postdoctoral Position in Novel Methods for Generalising Data Science<\/strong><\/span><\/h1>\n
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2. Postdoctoral Position in Geothermal Geophysics<\/strong><\/span><\/h1>\n
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3. Postdoctoral Position in Facial Appearance Measurement<\/strong><\/span><\/h1>\n
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4. Postdoctoral Position in Textiles Manufacturing<\/strong><\/span><\/h1>\n
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5. Postdoctoral Position in Systems Engineering Lead (KTP Associate)<\/strong><\/span><\/h1>\n
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6. Postdoctoral Position in Biotechnology<\/strong><\/span><\/h1>\n
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Looking For More Postdoctoral Positions? Click Here<\/a><\/span><\/strong><\/span><\/h3>\n
7. Postdoctoral Position\u00a0<\/strong><\/span><\/h1>\n
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8. Postdoctoral Position in Applied Health Research<\/strong><\/span><\/h1>\n
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9. Postdoctoral Position in Medical Statistician<\/strong><\/span><\/h1>\n
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10. Postdoctoral Position in in the Application of Computer Vision to Optimising Crystallisation Processes<\/strong><\/span><\/h1>\n
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