461 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions in Belgium
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: inge.vanhulle@kuleuven.be or Prof. dr. Wouter Druwé, mail: wouter.druwe@kuleuven.be .In case of problems with the online application, please contact solliciteren@kuleuven.be . Where to apply Website https
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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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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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application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/parttime-15-postdoctoral… Requirements Research
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terrestrial networks, non-terrestrial network entanglement distribution. Your profile PhD degree in wireless communications, signal processing, machine/deep learning or a closely related field in Electrical and
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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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information, please contact Prof. Ruth Heying, tel.: +3216340638, mail: ruth.heying@uzleuven.be or Prof. Sarah Thomis, mail: sarah.thomis@uzleuven.be Where to apply Website https://www.kuleuven.be/personeel
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Website https://www.kuleuven.be/personeel/jobsite/jobs/60606914?hl=en Requirements Research FieldComputer scienceEducation LevelPhD or equivalent LanguagesENGLISHLevelBasic Research FieldComputer science
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research team. You are resilient under pressure and eager to learn. You have an excellent command of English, with a preference for candidates that also can speak and write in Dutch. Knowledge of additional
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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