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on: • In-depth expertise in reliability testing of wide bandgap (WBG) technologies • Deep knowledge in in-situ measurement techniques for WBG technologies • You work on developing hybrid prognostic
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(animal course) Knowledge of English required High-quality CV Please address applications to Professor A. Camboni * Tour Vésale (+3), avenue Mounier 52, boîte B1.52.02- 1200 Bruxelles E-mail
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approaches, developed and employed in the Malysheva Lab, are required to reveal these mechanisms. With the proposed project we aim to bridge this gap in our knowledge of cis-regulatory mechanisms underlying
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of production processes, there is still a knowledge gap on the environmental impact of, for example, pharmaceutical biomanufacturing. Prospective sustainability assessment of pharmaceuticals in early development
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his/her knowledge-base and experience; working on the various aspects of the project will not only strengthen his/her academic profile, but also give him/her access to (and the chance to critically
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experiments will be mainly performed in rodents, you hold a FELASA certificate (or equivalent), or you are willing to obtain one. You have basic knowledge of statistical tools. Your teaching competences are in
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to machine learning, and show a significant enthusiasm for, and knowledge of, this domain. Be sure to mention in your motivation letter any knowledge of (or previous experience with) the machine learning
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the grade of distinction. You can also apply if you are currently in your last year of study and will obtain your degree in the summer. Good knowledge of R and/or Python is required. Knowledge of Matlab is a
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. You have thorough knowledge of English, both oral and written. Thorough knowledge of Dutch and/or French is an asset, but not required. Your research qualities are in line with the faculty and
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to identify requirements and validate solutions Your profile Education: MSc degree or equivalent in Computer Science or Engineering Experience: The ideal candidate should have some knowledge and/or experience