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Steven Ludeke to discuss their expected degree timeline. Highly proficient in at least one statistical programming language (e.g., R, Stata, SAS, Python). Candidates that can show an aptitude for learning
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models implementable on digital infrastructure (e.g. cloud computing). The work will involve active engagement with various consortium partners in a fast-paced R&D process, as well as encompass extensive
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/accessibility/expression testing, trajectory inference, etc. An understanding, experience and published outcomes from analysing and interpreting large datasets using statistical programming languages (e.g. R
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. • Background in experimental design in cognitive neuroscience or psychophysics. • Proficiency in programming (e.g., Python, R, C/C++, MATLAB). • Familiarity with Bayesian statistics and machine learning
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employment The position is for a 2-year period starting 1 August 2025. Job description The post doc will join Kasper R. Andersen’s research group working on structural and functional analysis of plant
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employment The position is for a 2-year period starting 1 August 2025. Job description The post doc will join Kasper R. Andersen’s research group working on structural and functional analysis of plant
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metabolism with a willingness to learn and apply state-of-the-art mass spectrometry techniques, as well as develop or apply coding skills (R/Python) for large-scale data analysis.Your job responsibilities As
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related field Experience with Earth System or biogeochemical modelling Strong programming skills (e.g., Python, R, MATLAB) and experience with advanced machine learning modelling A strong interest in
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NextFlow is a plus. Programming experience is required (Python, R). Previous experience in Genomics data analysis Strong analytical, organizational, and record-keeping skills Interest in working in a
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statistical modelling (e.g., hierarchical regression models, integral/matrix population models) and programming (e.g., R). Demonstrated ability to work independently, exercise critical thinking, and proactively