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bioinformatic analyses. Preferably you have experience using R and/or Python, and/or you have programming skills in bash or another scripting language. What we can offer you We offer a full-time position as a
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related field. The candidate should have excellent programming skills (e.g., Python), expertise in machine learning and fluency in English (speech and writing). Prior knowledge of neuroscience and/or deep
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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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(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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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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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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, 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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modelling and mechanical testing. You are expected to be quick-witted, have an appetite for the theoretical and experimental, and be willing to apply and/or improve your programming skills. You have a
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programming. Knowledge of C and C++ is a must. Previous hands-on experience with wireless technologies such as Bluetooth Low Energy or Ultra-WideBand is a plus. You can plan and carry out your tasks in
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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