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to work at the interface of fundamental research and real-world application. You will work closely with PhD students and senior researchers under the supervision of Prof. dr. M. Pilar Ruiz. We are looking
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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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. Optimize reaction conditions and explore scale-up potential. Analyze pollutant degradation and hydrogen generation mechanisms. Document experiments, publish results, and present findings at conferences
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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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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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performance on an innovative VTOL platform (https://aerogriduav.com/ ). AI models to predict ship motion to optimize landing timing. You will work at the MAVLab, which is part of the Control & Simulation
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real-world test flights to validate system performance on an innovative VTOL platform (https://aerogriduav.com/). AI models to predict ship motion to optimize landing timing. You will work at the MAVLab