322 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at KINGS COLLEGE LONDON
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annual delivery plan for the site. This is a full time post (35 Hours per week), and you will be offered an indefinite contract. About You: To be successful in this role, we are looking for candidates
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team and to meet deadlines Desirable criteria Demonstrated experience of supervising postgraduate students and experience in directing an individual/team research project or programme of work at an
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of oral tolerance induction to peanut are not well understood. In this research programme, we will use unique samples from young children undergoing their first oral exposure to peanut to explore
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the way our brain is constructed. While the “ground plan” of the brain is genetically determined, it is also influenced by environmental experience. We are still far from a complete understanding of how
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tomography (PET) and therapeutic radionuclide therapies labelled with iodine-131 to support this programme of research. As part of the wider aims of the lab, you will support the radiolabelling of other
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Participation Plan for King’s, as well as working closely with stakeholders from across the institution to embed and support Inclusive Education initiatives. The post holder will proactively engage with faculty
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research and aim to contribute to these research programs. The candidate will be responsible for general mouse colony management, as well as performing and assisting in in vivo and ex vivo mouse experiments
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on Theoretical Physics and in their personal statements To possess an underlying vision which motivates their research A plan on how they will collaborate with group members and contribute to the group. Desirable
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or currently hold a Home Office Personal Licence, PIL) Ability to manage own workload within the parameters of an agreed work plan, responding to changing priorities and an evolving environment/context
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programming and computational analysis (e.g., Python, R). Expertise in neuroimaging (MRI, MEG, EEG) and/or genomics; strength in one area with willingness to develop in the other. Ability to contribute to data