197 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" uni jobs in Belgium
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, the IDLab research group (https://idlab.ugent.be/home ) performs research on 1) connectivity and 2) data science & artificial intelligence. In these research areas we focus on 1) foundations, 2) system design
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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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: 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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consistency outside the training domain. This PhD research is envisioned to result in a breakthrough in the application of machine learning methods to fire engineering problems, by ensuring compatibility with
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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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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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address. Where to apply Website https://academicpositions.com/ad/ghent-university/2026/doctoral-fellow-departme… Requirements Research FieldComputer scienceYears of Research Experience1 - 4 Research
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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