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allocation, or control optimization). Experience with 3D sensing, perception, computer vision, or sensor fusion. Proficiency in programming languages such as Python, C++, or C#. Experience working with
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can also be proposed by the candidate as topics of investigations. The exact focus can be adapted to the candidate’s interests. The project offers flexibility to pursue multiple sub-projects while
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, and digital building technologies Experience with or motivation to learn programming and data analysis (e.g. Python, R) Personal suitability and motivation for the position Qualifications considered
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Experience particularly with 3D vision systems. Proficiency in the programming languages Python, C#, C and C++. Experience working with industrial robots (e.g., ABB, Universal Robots, Kuka, Yaskawa). Skills in
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/ ). By combining advanced machine learning techniques with qualitative methods, the project will investigate usage patterns and engagement levels with a health app across multiple European countries
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/ ). By combining advanced machine learning techniques with qualitative methods, the project will investigate usage patterns and engagement levels with a health app across multiple European countries
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Experience with R, Python, image analysis, or genetic data analysis (GWAS) is an advantage Motivation to work in interdisciplinary and international research environments You need to: Be able to work
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, sensor technology, or laboratory/field experiments. Skills in programming (e.g. Python, R) and data analysis. Ability to prepare technical reports, scientific papers, and presentations. You need to: Be
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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