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metabarcoding, metagenomics, isolation and culture. Prior analysis of high-throughput sequencing data and experience with R and Python required. Application materials needed: 1. CV 2. A one-page cover letter that
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learning, materials characterisation or computational materials science. Previous experience with machine learning, computer vision, graph neural networks, Python, SEM/EBSD, XRD, image analysis
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language (particularly R or Python) Excellent command of English, excellent command of German is a plus Teamwork and communication skills Please include with your application a comprising a covering letter
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programming skills (e.g. Python, MATLAB) and familiarity with FAIR open source practices. Excellent command of English (written and spoken). Preferred: Knowledge of CMIP datasets and climate scenarios
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quantitative and computational research. Good analytical and problem-solving skills. Experience or demonstrable potential in programming using Python, R, Julia, MATLAB, or a related language. The ability to work
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Management. Strong background in physics and mathematics, ideally knowledge in Air Traffic Management. Strong background in coding, preferably Python. Ability to learn independently and passion for research
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statistical analyses more robust. We are looking for a research assistant to contribute to the development of bamojax(link is external) (Bayesian modelling in JAX), our open-source Python toolbox
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of large-scale biological datasets will be considered a strong advantage. Experience with CRISPR-based approaches or statistical programming in R or Python is desirable but not required. The application
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programming skills in R and/or Python Documented experience with exercise testing (e.g., testing of maximal oxygen uptake) and/or supervision of exercise training in healthy individuals or patient groups
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, particularly in areas such as machine learning theory, probability theory, optimization, and linear algebra. Experience with random matrix theory is a plus. Programming experience in Python. Familiarity with