322 structures "https:" "https:" "https:" "https:" "https:" "University of Kent" Fellowship positions in United Kingdom
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at Seagate Technology (Springtown), you will lead microfabrication and metrology to realise device structures from pre-deposited magnetic wafers, including design and patterning of pillars and Hall bars
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materials, with microwave metamaterial and device designs, to help develop a new class of reconfigurable electromagnetic structures. This will involve using various simulation programmes, both for mechanical
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regulatory capacity across Africa, including the development and delivery of a structured training programme (CPD and PGCert‑level) for regulatory authorities. The role involves close collaboration with
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international research partners in Africa and Asia. We leverage our state-of-the-art core facilities (flow cytometry, microscopy, proteomics and structural biology) to address important problems and find
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: Resistance Analysis: Conduct simulations to analyze wave interactions, buoyancy, and stability of modular floating structures. Optimize designs for dynamic environmental conditions (e.g., waves, tides
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Grant “Unwrapping topologically protected light on topologically structured surfaces”. Building on the University of Southampton’s long-established and internationally recognised strength in metasurface
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projects that uplift personalised diagnostics through the integration of high‑throughput genomic sequencing data with structured clinical data from electronic health records. Develop, implement and maintain
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Grant “Unwrapping topologically protected light on topologically structured surfaces”. Building on the University of Southampton’s long-established and internationally recognised strength in metasurface
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-centric machine-learning frameworks for large-scale sequence-structure analysis and functional prediction. The role involves designing, implementing, and benchmarking computational models; developing and
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, computational biology, structural biology, biophysics, pharmacology or related discipline. Significant experience in virtual screening and molecular docking. Experience with machine learning/AI approaches in drug