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Field
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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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) 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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at the time of application Special requirements for the position: possess solid programming skills (e.g., Python, R, GIT) familiarity with machine learning, data analytics, or deep learning keen interest in
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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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communication skills and the ability to thrive in interdisciplinary collaborations Basic programming or data science skills (e.g., R or Python) and an interest in omics data analysis are considered an asset We
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quantitative analysis and statistical/econometric methods. Very good competence with statistical software (Stata, R, Python). Good written and oral English language skills. PLEASE NOTE: For detailed information
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command of written and spoken English Strong communication skills and the ability to thrive in interdisciplinary collaborations Basic programming or data science skills (e.g., R or Python) and an interest
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digital health technologies Basic programming or data science skills (R, Python) and interest in wearable data analysis are an asset Experience from relevant research projects will be considered as positive
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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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the job advertisement. In addition, the following will be emphasised: the quality of the project description, documented artistic practice and R&D relevant to the project. Applicants who already hold a PhD