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Field
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ambitions The position requires excellent programming skills in Python with demonstrable familiarity with PyTorch, experience in working on shared codebases, excellent applied math skills (especially
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science, or a related field A solid understanding of remote sensing, ideally radar or microwave techniques; experience with GNSS or Earth observation data is a plus Good programming skills in Python, MATLAB or C
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wireless system. Analyse experimental measurements using MATLAB, Python or equivalent computational tools. Compare experimental measurements with modelling or theoretical predictions generated by the wider
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) Item 03: Proven experience in both programming (Python, R, etc.) and the use of data analysis tools, as well as artificial intelligence / machine learning techniques (punctuation: 22.5) Item 04
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to annotated cell types Experience of working with non-model organisms, where reference resources are incomplete and annotation cannot be taken for granted Strong programming skills (e.g. R and/or Python) and
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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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data sets, for example weather and/or climate model and/or satellite data; You have good programming skills (Python, shell scripts, and/or comparable experience); Prior knowledge and research experience
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data (e.g. instrumental, laboratory, environmental, numerical and categorical data, text, geospatial data or time series); c) Experience in Python programming and in data analysis and machine learning
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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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Skills/Qualifications Technical Skills: Advanced programming in Python, PyTorch, PyTorch Geometric or DGL. Version control (git), Linux and model training on GPU (reproducible experiments). Other