437 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions in Belgium
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processes in the team (e.g., setting goals, coaching, evaluation). You create a strong team atmosphere and foster opportunities for knowledge sharing and cross‑learning. You interact closely with your peers
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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of decision making, and to the collection and analysis of field and laboratory data to test those models (see https://www.ferdinandvieider.com / for examples of past and current projects). WHAT WE ARE LOOKING
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and automating the acquisition of high-quality training datasets for machine learning models. Provide training to students on new technologies, protocols, and best practices. Support grant applications
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activities, I have gathered experience with machine/deep learning, and can demonstrate a strong affinity with these fields. Prior experience with computer vision is a plus. I am proficient in Python and am
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well connected to the machine and transportation, high precisionindustriesand I am eager to learn how academic research can be linked to industrial innovation roadmaps. During my PhD I want to grow
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: How does Autophagy degrade toxic cargo? Details: https://www.lifescience.net
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manipulation of fear and reward learning. This position is part of a recently funded, large-scale and innovative research program, aimed at creating new treatments for negative symptoms, among the most
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academiaOpportunities to work on innovative projects and network globally More information is available at: https://marie-sklodowska-curie-actions.ec.europa.eu/calls/msca-postdoctoral-fellowships-2026 Your role Your
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Research Council (ERC) Starting Grant https://www.kuleuven.be/english/research/EU/p/he/p1/erc/IonFracMem ) aims to address this challenge by developing novel membranes that combine fast throughput with