43 computational-physics "https:" "https:" "https:" "https:" "Ulster University" research jobs at King's College London
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King's College London, TPPC Physics Position ID: King's College London-TPPC Physics-TPPCSTFC26 [#31250] Position Title: Position Type: Postdoctoral Position Location: London, London, City of WC2R
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place. We are delighted to announce exciting new opportunities to join our community. EMBRACE is a visionary, multicomponent international research programme, the first of its kind in the world
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& Sciences (SCMMS) provides an outstanding multi-disciplinary environment for the pursuit of cutting-edge cardiovascular and metabolic research (https://www.kcl.ac.uk/scms ). We study the fundamental molecular
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. Fellowships provide a competitive salary and up to £30,000 in research expenses for 18–24 months, enabling fellows to establish a distinctive research programme and prepare competitive applications
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THIS VACANCY IS OPEN TO INTERNAL CANDIDATES ONLY About Us We are seeking a highly motivated and experienced researcher to work on the large-scale programme and associated projects of the Data
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. Researchers benefit from state-of-the-art optics and prototyping facilities, high-performance computing for AI-driven analysis, and direct access to clinical environments. This multidisciplinary ecosystem
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of cocaine. This process is known as ‘classical conditioning’ and the aim of this study is to reduce the risk of relapse to cocaine through use of novel technologies to reduce craving. The person appointed
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neuroscience or developmental biology or equivalent Excellent skills in mRNA techniques, especially HCR labelling Confocal microscopy skills Computational experience, including coding Experience in using
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises the Departments of Chemistry, Informatics, Mathematics, Physics. The Department of Mathematics has a
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, and with expertise in quantitative and qualitative methods, to develop a training and capacity-building programme and lead research projects working on large datasets. On training and capacity-building