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of pollutants). The research will combine material synthesis, advanced characterization, adsorption tests, and process evaluation, in collaboration with experts in life cycle assessment (LCA) and techno-economic
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develop and evaluate computational methods for modelling patient-specific aortic and valvular haemodynamics. The position is funded until March 31st 2028 in the first instance, and available immediately
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must have a PhD in synthetic chemistry or similar. The candidate is required to have a strong background in organic synthesis and transition metal catalysis. The candidate must be familiar with
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imaging applications. As a PostDoc you will contribute to the evaluation, development, validation and deployment of advanced data reduction and compression methodologies for large-scale imaging datasets
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as part of a running team including two PhD students. Your profile Applicants should hold a PhD in molecular biology, genetics, epigenetics, developmental biology, or a closely related field
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for evaluating neural circuit function and therapeutic efficacy. The researcher will participate in the preparation of manuscripts, abstracts, reports, and grant applications; present research findings at local
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or kidney disease (SICKMEDS) project. The project aims to evaluate the impact of SICK-MEDS education on reducing acute kidney injury, hospitalisation rates in culturally and linguistically diverse people
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public health. In this role, you will develop and evaluate novel AI and machine learning methods using large-scale multimodal datasets, contributing to epidemiology-informed foundation models, predictive
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Models, LLMs, etc. PhD and PostDoc Positions in Visual Computing & AI The Visual Computing & Artificial Intelligence Group at the Technical University of Munich is looking for highly motivated PhD students
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members (monitoring equipment and reagents, managing cell banks, and participating in ordering supplies, where applicable). Participation in the technical supervision of Master’s and PhD students. Where