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Field
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-phase species (e.g., laser-based imaging diagnostics, setup of model reactors, modeling of underlying reactions, multiscale simulation of reactive fluids, computational fluid dynamics) What we offer
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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Mobile Edge Computing (MEC) has emerged as a promising computing paradigm to support emerging high-performance applications by deploying resources at the network edge. However, most existing MEC
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extraction materials. Addressing these challenges requires fundamentally new approaches that integrate mineral liberation, molecular recognition, and process engineering. This PhD project contributes
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relevant field (Informatics, Computer Science, Ecology, or Biology). strong Python programming skills proven experience with Machine Learning and image processing (Deep Learning/Object Detection) strong
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at the heart of a renowned Plant Biotech campus in Ghent, Belgium. Its mission is to integrate genetics, cell biology, genomics, and bio-computing to unravel plant biological processes and to further translate
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15 Apr 2026 Job Information Organisation/Company Sorbonne University, IMPMC-UMR 7590 Research Field Biological sciences » Biology Chemistry » Biochemistry Computer science » Digital systems
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Biology * Immunology Biophysics * Neurobiology In vivo Imaging * High Resolution Optical Imaging and more. Applications for the PhD program can be submitted from 2 March to 1 May 2026. Projects start in
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++ or similar) and an interest in quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not
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Engineering » Computer engineering Engineering » Control engineering Engineering » Industrial engineering Engineering » Systems engineering Chemistry » Analytical chemistry Agricultural sciences » Agronomics