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animal movement analyses. Geospatial analysis, GIS, and remote sensing. Statistical, ecological, and machine-learning modeling using modern analytical software (e.g., R or Python). Google Earth Engine and
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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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University of Girona (UdG) - Institute of Computational Chemistry and Catalysis (IQCC) | Spain | 3 months ago
, preferably in Python. Additional skills and experience considered positively:Experience in quantum mechanical calculations (e.g. DFT) Experience in molecular dynamics simulations Familiarity with Linux/Unix
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simulation and machine learning funded by the Klaus Tschira Foundation. Profile Solid grounding in statistical mechanics Experience with machine learning and/or molecular simulation; strong Python and PyTorch
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degree in Computer Science, Artificial Intelligence, Software Engineering, Robotics, or a related field Strong experience in software development and excellent programming skills, preferably in Python
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(e.g. SolidWorks) • Programming language skills in Matlab and/or Python • German language level B1 or higher What we offer: • Full position (100% / 40h, pay grade E13, TV-L) • Flexible solutions for home
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data from textual sources Conduct data analysis using econometric and statistical tools (STATA, R, or Python). Assist in literature reviews and summarising academic research. Contribute to writing
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related discipline; An interest in the impacts of land use; Experience in handling spatial data; Programming experience in Python, and/or R; Proficiency in English; and The ability to work as part of
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of cladding hoop stress and assessment of PCI-failure risk, • implementing, testing and documenting computational tools, for example in Python, and contributing to reproducible computational workflows
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the analysis of large-scale omics data (e.g., proteomics, metabolomics, transcriptomics), including basic programming skills in R and/or Python Documented experience with exercise testing (e.g., testing