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Information Science (GISc) — particularly in movement analysis — with teaching and student supervision? Have you recently earned a PhD in GISc and feel inspired to share your expertise with the next generation while
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at the laboratory of Food Process Engineering, you will play a pivotal role in the EU Future Foods project. You will bridge experimental and modelling results in order to arrive at microfluidic device that can be
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qualitative research skills, policy analysis experience, and experience working in different One Health settings abroad. Your duties and responsibilities include: Contribute to the BIORESIST study by evaluating
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PhD students and post-doctoral fellows, 2 technicians and support staff, and has access to state-of-the-art research facilities to perform human intervention studies, cell culture experiments, and
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analytical skills. You have knowledge of physics and mathematics. You have a strong affinity with design of experiments and experimental techniques. You have affinity with data processing techniques and
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, Bioorganic Chemistry, Synthetic Chemistry, or related field. Expertise in organic synthsis, compound characterization, biochemical assays, and cell-based assays. Prior experience with or affinity for MS-based
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autonomous systems. The research involves experimental studies of swelling, wetting, and transport phenomena, and the development of physical interpretations of responsive behavior in confined polymer systems
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fundamental research to translational research with a direct therapeutical impact. Your job The primary objective of this position is to perform experimental proteomics work, including sample preparation and
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(for example instruments control) You have proven experience in Python development You have experience in software development and validation, especially complex simulation software Ideally, you have direct
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and the University of Groningen. The QDA group focuses on both fundamental and application-driven research in ML. We are looking for candidates with experience in the area of machine learning