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, Bioengineering, or a related field Strong interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and interest in wearable data analysis
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microfabrication techniques, such as photolithography and etching. Experience with programming and/or data processing in Python. Knowledge about solid state physics. Knowledge about magnetic materials. Personal
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the starting date of the position. Demonstrated competencies and skills within programming and statistical analyses (e.g., in Python, R, etc) are a requirement. A background in media technology & AI is a
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) or the equivalent in Computer Science, Information Security, Statistics, or related fields at the time of application Special requirements for the position: possess solid programming skills (e.g., Python, R, GIT
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interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and interest in wearable data analysis are an asset Excellent command of written
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(Python, Matlab or C), Good dominion of biomedical signals and human physiology is desirable, Strong interest in translational endocrinology and digital health technologies Excellent command of written and
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Intelligence, Machine Learning, and Natural Language Processing Experience with multimodal learning (integration of time-series, clinical, and textual data) Strong programming skills (Python, PyTorch/TensorFlow
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computing is an advantage Excellent programming skills (Python, Matlab or C), Good dominion of biomedical signals and human physiology is desirable, Strong interest in translational endocrinology and digital
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the Nobel Prize in Physiology or Medicine in 2014. The position is part of a collaboration between the research groups of Assoc. Prof. Weijian Zong (group page here ) and Prof. Jonathan Whitlock (https
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selection criteria Strong skills in relevant programming languages, particularly Python and C++, good knowledge in ROS (Robot Operating System) is an advantage, and best practice in data management and use