124 computer-engineer-"https:"-"https:"-"https:"-"https:"-"ETH-Zurich" Postdoctoral positions in Netherlands
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computational biocatalysis. The position is embedded in Q-MMD, the quantum-simulation programme of the Faculty's Molecular and Material Design Technology Hub. The programme connects four seed projects: quantum
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infection in vulnerable infants? Join an NWO Vidi project that combines advanced gut-on-a-chip technology, organoid models and microbiome approaches. You will work in an interdisciplinary setting to establish
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2 Oct 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Philosophy » Epistemology Philosophy » Ethics Researcher Profile Recognised Researcher (R2
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their wild relatives over thousands of years. In this project, you will develop and apply computational omics approaches to uncover the molecular mechanisms underlying ancient plant–microbiome
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mentoring, opportunities to co-supervise students, and access to TU Delft’s training programme. This vacancy is positioned within the globally recognized Department of Hydraulic Engineering (HE), known
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Can technology learn to listen to how athletes feel, and not just to what the sensors measured? In the ASPIRE project, we develop knowledge for the new generation of sports tracking technology that
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at the faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) and the Interaction Design group at the faculty of Engineering Technology of the University of Twente, in close collaboration with
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23 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Engineering » Electrical engineering Engineering » Mechanical
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(UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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. At Eindhoven University of Technology, we are launching a new research programme that aims to develop the mathematical foundations for next-generation Digital Twins: computational representations of physical