110 digital-image-processing-phd-scholarship Postdoctoral research jobs in Netherlands
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and data acquisition. Collaborate with EXIT071 to advance dzITP technology for diagnostic and drug discovery applications. Optionally mentor or collaborate with MSc and PhD students involved in
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Bachelor's and Master's students, 550 employees and 150 PhD candidates. Our educational and research programmes are closely connected with UT research institutes Mesa+ Institute, TechMed Center and Digital
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) to explore and refine design methodologies. Developing and prototyping design tools to support creative professionals across the design process—from ideation to user testing. Synthesising results into a
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) to explore and refine design methodologies. Developing and prototyping design tools to support creative professionals across the design process from ideation to user testing. Synthesising results into a
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, including grades. Your PhD thesis. Starting date of the position: flexible, currently aimed to start around February 2026. For more information regarding this position, you are welcome to contact Dr. Silke
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into this environment are invited to apply. Experience in fields such as microfabrication, nanofabrication, biophysics, single-molecule techniques, synthetic cells, and optical imaging is welcomed. We foster diversity
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international level. Candidates that fit into this environment are invited to apply. Experience in fields such as NPC, DNA origami, IDPs, MINFLUX, biophysics, single-molecule techniques, and optical imaging is
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Organisation Job description Within the Department of Operations, a post-doc position is available on the topic of logistics for customization in secondary education with self-regulation. A paradigm
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of human IPSC-derived neurons and glia cells. This will be complemented by genetic, proteomic and imaging techniques and subsequent data analyses. As such, we are looking for a candidate with an interest and
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: 12 September 2025 Apply now Join the faculty of Geosciences as a postdoctoral researcher! You will work on carbon turnover models and the fusion of data science forecasting methods with process-based