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high-performance computing clusters is needed and knowledge of relevant programming languages (Python, Perl, R) is considered an advantage. A in-depth understanding of biochemistry, genomics experiments
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in relevant genetic data analyses such as GCTA, polygenic scores, GWAS, or family genetic risk scores. Familiarity with R, Python, Julia, or other relevant computing languages. Experience with register
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of materials with advanced instrumentation, such as those mentioned in the job description Programming skills, e.g., by LabView, Arduino, Python, Origin or Igor pro All candidates and projects will have to
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, statistical modelling, programming in R, Matlab, or Python. Excellent skills in written and oral English. Personal suitability and motivation for the position. The doctoral dissertation must be submitted
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programming skills in C++ and Python experience with robot operating systems experience with simulators for robotic systems experience with implementation of real-life robotic systems strong skills in
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emphasized. dgood abilities in statistical software such as R or Python motivation and potential for research within the field professional and personal skills for completing the doctoral degree within
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. Desired qualifications: Strong theoretical and methodological capacities in statistics Documented expertise in computational methods and experience with R or Python programming Experience in Bayesian
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background in statistics (a minimum of 60 ECTS in statistics). Knowledge in programming skills (e.g., R, Python). Candidates without a master’s degree have until June 30, 2026 to complete the final exam
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, particularly Python, and best practice in data management and use of Github. Experience with robotics or maritime autonomous systems, including perception, planning, or navigation. Experience and abilities
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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