444 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions in Belgium
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natural and human disturbances through climate-smart forestry startegies, based on observations and predictive models. Where to apply Website https://unimol.concorsismart.it/ Requirements Additional
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: You will teach courses in the BSc and MSc programmes in geography and will also offer courses for other programmes in the faculty that require GIS skills (e.g. MSc Oceans & Lakes, MSc Biology, MSc Urban
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representation learning. You have strong programming skills, especially in Python, and preferably experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals
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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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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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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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you to apply in English and include a detailed CV and a motivation letter with your application (https://jobs.vib.be/apply/132343 ). Applications for this position can be submitted until March 17, 2026
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engineering Engineering » Computer engineering Engineering » Control engineering Engineering » Materials engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline
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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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one-year fixed-term contract on the SW11 salary scale (SW10 if you do not have at least two years of recognised scientific experience). Where to apply Website https://www.astro.oma.be/common/pdf/jobs