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; data analysis; modeling; statistics and machine learning; scientific simulation; or theoretical astrophysics. COMPENSATION AND BENEFITS The full-time annual compensation for this position is $95,000. In
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may include but are not limited to: algorithm and software development; application or development of computational or statistical methods; data analysis; modeling; statistics and machine learning
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therapy Conduct in vitro and in vivo studies, including mouse models Collaborate closely with lab members and local, national, and international collaborators Maintain clear, transparent, and reproducible
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medical devices. You will work at the interface of biomaterials, cell biology and medical device evaluation, applying recognised standards and in vitro models to assess the safety and effectiveness
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, and problem-solving in multi-agent settings. Develop a theoretical model that explains how human–AI teams engage in co-creative processes. Develop a set of applied resources (e.g., guidelines, workshop
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classification. Simulations and selection effects (Lancaster University): lead the forward-modelling of the combined LSST+TiDES sample, and characterize its associated sample selection effects. This project will
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on understanding high-level semantic concepts, behavioural patterns, product usage, and skincare routines through advanced Vision AI, Multimodal AI, and Foundation Models. The successful candidate will work closely
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provide guidance to PhD students where appropriate to the discipline Contribute to writing bids for research funding Contribute to developing new models, techniques and methods Undertake management
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 11 days ago
. The successful candidate will support research activities related to Geographic Information Systems (GIS), spatial statistics, accessibility modelling, territorial typologies, dashboard development, and scientific
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chromatographic techniques such as LC-MS and GC-MS. Additional experience in the bioprospecting of bioactive extracts, particularly in the assessment of their biological activity using cell-based models, will also