88 computational-physics-postdoc Postdoctoral positions in engineering in Netherlands
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(adaptive) imaging strategies and reconstruction. The research combines ultrasound physics, signal processing, machine learning, computational imaging, and clinical translation. Beyond your individual
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description In polymeric materials, a fundamental transition is required from
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routes — your work anchors the electrification of process heat line. You join the Electrical Energy Systems group, collaborating closely with PhD students, postdocs, and process and materials partners in a
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, physics, applied mathematics, engineering, computer science or related discipline. Strong skills in fluid mechanics and numerical modelling. Experience with large observational data sets of environmental
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experimental colleagues. A desire to develop the direction of your project is very welcome! Job requirements Masters in Physics, Computer Science, Nanobiology, Mathematics, Bioengineering or a related discipline
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22 Jul 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Chemical engineering Engineering » Process engineering Researcher Profile
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description What will be the new generation of batteries for long-duration
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? As a Postdoc at TU Delft, you will tackle these challenges by developing integrated sensor and readout IC technology for flexible electronic skin, or Smart Skin. You will design, simulate and lay out
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Sep 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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route to produce high-quality recyclates, but current implementations rely on static process design and control that don’t account for feedstock variability, inefficient solvent use, and high energy