192 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs in Belgium
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European cities. The project explicitly embraces a broad AI perspective, including (but not limited to): machine learning and statistical learning computer vision and sensor-based data analysis natural
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, incorporating transient tribological changes. Creating machine-learning-based surrogate models to enable rapid efficiency and lifetime predictions under realistic operating conditions. Validating the developed
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, collaborative science Experience with tools for qualitative and quantitative analysis; experience and practice with machine learning and Artificial Intelligence are also considered assets Language requirements
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estimates an appropriate price (pricing/revenue management). This is done through machine learning and data analytics techniques, making use of historical and product attribute data. Market-based valuation
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research. You have an affinity with both experimental research and simulation software. You possess strong technical knowledge, expertise, and hands-on experience in the field of electric machines
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plus, but motivation and eagerness to learn are equally important. WHAT WE CAN OFFER YOU We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which - after a
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experience with data analysis Enthusiastic team player Basic understanding of immunology Desirable but not required Experience in single-cell or spatial data analysis Machine learning experience Key personal
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software. You possess strong technical knowledge, expertise, and hands-on experience in the field of power electronics. Additional knowledge of electric motor design and the control of electric machines is
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methods, or motivated to acquire them; demonstrate strong abstract reasoning skills; have a good command of English (working language). No prior knowledge of Dutch or French is required; willingness
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complementing the current research portfolio. Acquire competitive funding and build up high impact research, international reputation and visibility. Collaborate with other units in the Department of Clinical