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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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in view of a PhD degree. You are proficient technically and have an affinity with wireless communication, signal processing and embedded programming. Knowledge of C and C++ is a must. Previous hands-on
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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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in the area and offers great career opportunities. With its 11 faculties and more than 85 departments offering state-of-the-art study programs grounded in research in a wide range of academic fields
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full-time to start the program in September 2025. Desirable: Dutch language proficiency Eligibility Conditions: Applicants do not already hold a doctoral degree. Applicants must not have resided
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. The degree requirement must be met by the start date of employment. A record of excellent academic performance. Excellent academic writing skills and oral skills in Swedish and English. Excellent theoretical
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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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, 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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the doctoral training program and other PhD courses; write and publish scientific articles related to your research project; present the data at scientific conferences. WHAT WE CAN OFFER YOU We offer a full-time
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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