16 programming-"https:"-"https:"-"https:"-"IFM"-"IFM" Fellowship research jobs at UNIVERSITY OF SOUTHAMPTON
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Growth of Functional 1D and 2D Metal Dichalcogenide Semiconductors) Programme Grant recently announced by the UK Engineering and Physical Sciences Research Council (EPSRC). EXPRESS is a large (£10M
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programme, Deep Molecular Phenotyping of Metastatic Breast Cancer. This ambitious, interdisciplinary project aims to generate an integrated, multi-omic understanding of secondary (metastatic) breast cancer
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postdoctoral scientist to work on our Blood Cancer UK-funded programme developing next-generation, off-the-shelf immunotherapies for acute myeloid leukaemia (AML). This three-year project will harness cytotoxic
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. The successful candidate will contribute to an interdisciplinary research programme developing computational models to understand molecular interactions relevant to antimicrobial systems, biomolecular interfaces
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We are seeking highly motivated post-doctoral researchers of high calibre to join our research program working in the area of electronic textiles. The role is suited to candidates from either
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suitable for a trainee with relevant experience in cancer clinical research as out of program experience or for someone wishing to pursue a career in these specialties prior to obtaining a training number
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candidate will contribute to an interdisciplinary research programme focused on the design, synthesis, and characterisation of liquid metal nanomaterials as catalytic artificial enzymes for biomedical and
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We are seeking a highly motivated and talented post-doctoral researcher to join our research programme in metasurfaces. The position is funded by the three-year Leverhulme Trust Research Project
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designed to fulfil the requirements for an out-of-programme experience for a specialist trainee in oncology, haematology surgery, pathology or any other disciplines related to cancer, but may also be
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highlight how your experience and research interests are relevant or transferrable to studying AGN host galaxies and how you plan to exploit data from LSST, Euclid and 4MOST for such studies. Informal