14 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Ghent University
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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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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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institutions and leading to a joint degree or double/multiple degrees. The joint study programme should lead to new jointly developed programme-level learning outcomes, but can be based on existing and/or newly
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session (November 2022) to learn more about the financial, job-and HR-related aspects of your fellowship. More information See FWO website (FO and SB ) for detailed information on the call, (bench fee
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skills, and are interested in both wet-lab work and bioinformatics. Candidates should be motivated to acquire basic bio-informatic skills (R,…) as the technologies that will be used involve complex data
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that can grapple with both colonial violence and ongoing international crimes. In the context of genocide, documentation efforts acquire a particular urgency. Documentation provides evidence for
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to work in a multilingual environment. You are empathetic, work with precision, and have a critical mindset. You are open to giving and receiving constructive feedback, you value continuous learning. You
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contribute to a positive work atmosphere where continuous learning, development, and collaboration are paramount. Previous experience with working in interdisciplinary teams is a plus. You are stress-resistant
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. You can work autonomously as well as in a team. You contribute to a positive work atmosphere where continuous learning, development, and collaboration are paramount. You are stress-resistant and
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: it enables researchers to contribute their expertise, experience and interests, while jointly shaping an integrated research approach that supports mutual learning, forward thinking, participatory