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PhD students and senior researchers under the supervision of Prof. dr. M. Pilar Ruiz. We are looking for a motivated Postdoctoral Researcher to join our team at Maastricht University. In this position
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of the results to a broader audience of policy makers and society as a whole. Your experience and profile: Formal requirements: Applicants must have, or be close to obtaining, a PhD degree in Actuarial Science
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, contributing to advances in energy storage, cultural heritage, and biomaterials. The MI group focuses on harnessing machine learning to accelerate the discovery, characterization, understanding, and optimization
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characterisation techniques; You will identify and implement optimal methods for the integration and testing of materials in real-life conditions; You will perform structure-property correlations and unravel
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if you: Have a PhD in operations research, industrial engineering, or a related field with a strong background in mathematical modeling and optimization (completed or near completion). Have experience with
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toxicity and X-ray dose optimization in cancer and healthy cells, 2) optimization of intratumoral administration, in vivo pharmacokinetics, biodistribution and toxicity assessment and 3) therapeutic efficacy
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obtained ScanNanoTreat (SNT) EIC transition grant. Specific tasks are 1) in vitro evaluation of nanohybrid toxicity and X-ray dose optimization in cancer and healthy cells, 2) optimization of intratumoral
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/pharmaceutical-technology-and-biopharmacy/ ). Researchers at GRIP aim to understand the molecular basis of disease, develop innovative therapeutic strategies, and optimize drug delivery to improve human health
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methodologies; You will characterise the materials using spectroscopic and surface characterisation techniques; You will identify and implement optimal methods for the integration and testing of materials in real
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prediction of BESS’s electric and thermal behaviours. Optimization of BESS design for high energy density, durability and safety. Validation of models by benchmarking with cell and system level measurements