15 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions at Maastricht University (UM) in Netherlands
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Description We are looking for a PhD-candidate interested in topics that lie on the border of optimization by the use of heuristic algorithms and (Explainable) Artificial Intelligence ((X)AI). Specifically, in
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: questionnaires on healthcare and patient outcomes, qualitative data on patient experiences, improved diagnostics using innovative laboratory methods, development of pathophysiology-based treatment plans
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will contribute to the development of experimental designs, run behavioral experiments and collect and analyze intracranial EEG data which provide a unique opportunity to get direct access to hippocampal
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software development (e.g., treatment planning tools, imaging algorithms, AI-based applications). Excellent collaboration and communication skills. Fluency in English (spoken and written); Dutch language
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, workshops, and collaborative writing projects. The tasks include: Developing a research plan, taking into consideration ethics and data management procedures of the Faculty; Literature review of published
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seek a motivated PhD candidate with an MSc and strong background in electrochemistry or engineering. The candidate will join a multidisciplinary project with KU Leuven to develop an electrochemical
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and research possible. PhD Opportunity: Engineering a Next Generation of Miniaturized In Vitro Models Our goal: Develop the next generation of miniaturized in vitro models to advance regenerative
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want to contribute to global health by helping develop ethical and equitable HIV cure strategies? Are you passionate about social science research with real-world impact? Then this PhD position might be
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that makes our education and research possible. Two Postdoctoral research positions on the development of cell delivery-based beta cell replacement therapy for the treatment of type 1 diabetes The positions
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”. Are you excited about the opportunities that data science in nutrition—especially the role of targeted metabolic modelling, machine learning and AI offer in developing effective personalized nutrition