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programming. You are highly motivated to conduct (applied) research at the intersection of (deep) machine learning and the health sciences. You have good programming skills in languages such as Pythorch, and
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across the various programs in which the department is involved. • Contributing to the internal and external services of the department. WHAT WE ARE LOOKING FOR • You hold a degree of Master of Science in
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. The coordinator-spokesperson submits the data management plan (DMP) and the final report on the project. The coordinator-spokesperson is also responsible for the organisation of an event for a wider scientific and
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, this research will offer unique knowledge for tailoring intervention and prevention programs in several youth contexts. This project is proudly supported by the youth platform JEZ!, and is a collaboration between
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field (Bio-Engineering, Remote Sensing, Surveying, Physics, Geosciences, Environmental Sciences, Computer Science). Fluent in programming languages such as R, C++ or Python Prior experience with, or a
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(either in classes or in projects/work) is a must. You have experience or you have studied at least one Hardware Description Language. You must be familiar with FPGA programming, hands on experience with
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, computer science or quantitative criminology; The diploma requirements must be met by the time of appointment. • Intermediate programming skills (e.g., Python or R), as well as a willingness to develop these further
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organizational skills. • You are highly motivated and can plan and conduct research accurately. • You can function well independently as well as in a team. • You can take initiative and have a hands-on mentality
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, but not a requirement Knowledge of programming languages such as R, Matlab or Python. Experience with the linux/unix environment and handling large datasets is a plus. A good command of English, both
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with biological insights to investigate and integrate complex omics data. Therefore, knowledge of programming languages such as Python or R is necessary and prior experience with data science, high