496 phd-position-in-data-modeling-"Prof"-"Prof" Postdoctoral positions in United Kingdom
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pathogens as a model system. There are two post-doctoral research positions and one PhD studentship associated with Dr. McDonald’s UKRI Future Leader Fellowship, which will explore the cell biology
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, the role holder will be responsible for the supervision of PhD and MSc students working on the relevant topics with the project. It is an excellent opportunity for a researcher to further their skill set in
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concept of remedies has evolved across different dimensions of the employment relationship in a set of different national systems (i.e. France, Greece, Poland, Sweden and the UK). Data collection and
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Applicants are invited to apply for a Postdoctoral Research Associate (PDRA) position to join our Yorkshire Cancer Research Pioneer Fund on developing sustainable bio-inspired magnetobots for cancer
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human tumour models including organ/tumour perfusion, slice culture and organoids to ensure data is clinically relevant and to inspire the next generation of effective treatments. The post would suit
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-£46,913 per annum. This is a full time, fixed term position for 2 years. We are seeking an enthusiastic cardiovascular immunologist or an expert in immunology and/or vascular biology to join Professor
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20 Sep 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Sociology Ethics in health sciences Psychological sciences Researcher Profile Recognised Researcher (R2
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prison sites, recruitment and data collection, and complex data analysis. You should have a PhD (or near to completion) and an Undergraduate degree in psychology or a relevant discipline. You will have
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the Centre for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in a
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and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and expertise in analysing/ training models on biological or chemical