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or a related engineering field. Industry experience in the domain of engineering is a strong plus; Experience with bio-microfluidics engineering (Computer-Aided Design and micromilling), biosensing and
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, architecture, and/or industrial design. You also possess: Strong analytical skills and innovative attitude Previous experience with finite element simulations and/or rapid prototyping Good programming and image
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where academic innovation and practical application go hand in hand. About the project Maastricht University is currently expanding its preclinical research facilities with state-of-the-art technologies
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cultures in suspension using aggregates or microcarriers is highly advantageous; hands-on experience with bioreactors and process design skills are highly desirable; experience with Process Analytical
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integrates OLA production of liposomes, trap arrays, local light/heating modules, and selection and sorting routines. Guided by machine learning, we will perform directed evolution experiments where we
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geography, regional science, applied economics or innovation studies showing a clear affinity to regional innovation and/or regional economic policies. Proven experience in quantitative and/or qualitative
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: simulating carbon reduction potential at parcel level under climate change scenarios across Europe; design and implement geospatial hybrid and mechanistic modelling frameworks using process-informed machine
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, science and care work together on innovation. Time and again, we find new ways to help people with cancer worldwide. Here we save lives, gain time and quality. Thanks to the latest techniques and, above all
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: 12 September 2025 Apply now Are you a data scientist interested in designing and implementing process-informed machine learning and uncertainties quantification methods? Join us as a postdoc and work
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should have: Demonstrated experience with computational fluid dynamics (CFD) is required. Experience with computer aided design (CAD) tools would be an asset. Experience with programming and scripting