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of, and experience with, causal inference and/or survival analysis is an advantage, but not necessary. • Good programming skills (in R, Python or similar). Experience with analyzing large datasets
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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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highly motivated candidate with: Master’s degree in medicine (MD) Strong interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and
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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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Language Processing Experience with multimodal learning (integration of time-series, clinical, and textual data) Strong programming skills (Python, PyTorch/TensorFlow) Demonstrated coding portfolio: GitHub link
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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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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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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