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characterization of these innovative material concepts, alongside exploring end-of-life solutions. This work will complement efforts by another PhD researcher specializing in microbiology, genetic engineering, and
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biologically realistic spiking recurrent neural networks (SRNNs). You will use the efficient spike coding framework , in which a network is not trained by a learning paradigm but deduced using mathematically
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process the data to obtain images and velocity information of the subsurface at Kwintsheul. In the second part of the project you will be cooperating with TNO on incorporating the result from the first part
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imaging systems, robotics and transportation systems.. Job requirements We are looking for a candidate with a PhD degree in systems and control, computer science, or applied mathematics with a focus on
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in the power of collaboration and teamwork. More information Are you interested in this position, but do you first have some questions? Feel free to reach out to Jørgen de Jonge, PhD | RIVM
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interested in this position, but do you first have some questions? Feel free to reach out to Jørgen de Jonge, PhD | RIVM , Department Head of Immune Mechanisms - Immunological Models (IIM), via +31 6 311 423
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interested in this position, but do you first have some questions? Feel free to reach out to Jørgen de Jonge, PhD | RIVM , Department Head of Immune Mechanisms - Immunological Models (IIM), via +31 6 311 423
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characterization. Experience with cell culture and differentiation. Knowledge and experience with microscopy, image processing and analysis. What we offer As a Postdoc at the Faculty of Health, Medicine and Life
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acquisition (EPU/SerialEM); strong expertise in various cryo-EM image processing and model building/analysis software (e.g., Relion, CryoSPARC, ChimeraX, ISOLDE, COOT, Phenix); prior experience with in situ
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Vacancies Post-Doctoral Position in Surgical Robotics Key takeaways Research project description Minimally invasive surgery has revolutionized medicine by enabling interventions without large