260 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Netherlands
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programming skills in Python (experience with MATLAB or R is a plus). Proven experience with deep learning and machine learning frameworks (e.g., TensorFlow, PyTorch). Background in computational modeling
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, mythical scenes of making, or depictions of making in sacred or military contexts). They will take into account (where applicable) how images interact with epigraphic frames and contexts of production and
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of making in ancient Roman visual culture (e.g. depictions of craftsmen at work, mythical scenes of making, or depictions of making in sacred or military contexts). They will take into account (where
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Engineering, Biomedical Engineering or similar with experience in (medical) image analysis and/or machine learning. Affinity or experience with biomedical research (sequencing techniques, hisopathology) is
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of Computer Science, Computer Engineering, Biomedical Engineering or similar with experience in (medical) image analysis and/or machine learning. Affinity or experience with biomedical research (sequencing techniques
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As a postdoc, the following is required: You hold a PhD in computer science, epidemiology, econometrics, machine learning, artificial intelligence, mathematics, data science, medical informatics, or a
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with strong expertise in one of these categories: solid-state NMR; Quadrupolar solid-state NMR; Automated NMR analysis & machine learning; Lipid biochemistry (and chromatography knowledge in general
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Physiology. Your qualities You have a PhD degree in a relevant field, preferably on the edge of Bioinformatics and Plant Biology. You have affinity with mathematics/modelling and bioinformatics, but are also
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Employment 0.8 - 1.0 FTE Gross monthly salary € 3,378 - € 5,331 Required background PhD Organizational unit Nijmegen School of Management Application deadline 01 June 2025 Apply now What citizens
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which includes your proficiency in both English and Dutch a copy of your PhD thesis or, if it is not yet available, an outline and summary of your thesis and one of your scientific papers. Upload your