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Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM) | Spain | 18 days ago
FieldChemistry » OtherEducation LevelMaster Degree or equivalent Research FieldEnvironmental science » OtherEducation LevelMaster Degree or equivalent Skills/Qualifications Experience in programming (R or Python
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activities, including supporting clinical trial and experimental medicine studies. You will select, follow, and adapt specialist data analysis methodologies using R and/or Python to work with large-scale
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Geography, and the like Demonstrated analytical, programming, or numerical methods skills (e.g., C++, Fortran, Python, R, Matlab). The candidate must be fluent in written and spoken English and Portuguese
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using Python-based environments (e.g., Jupyter Notebook, Google Colab) Conduct validation and performance evaluation of developed models Conduct literature reviews and benchmarking of existing AI
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) Proficiency in programming and data analysis tools (Python, R, MATLAB, SQL or similar) Ability to work independently and within an international multidisciplinary team High level of English Specific
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. R, Python, MATLAB or similar) Ability to integrate molecular, clinical and experimental data in translational research projects Experience in scientific communication, including publications and
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, engineers, PhD students, and postdoctoral fellows, at the interface between fundamental research, technological development, and experimental validation. Where to apply Website https://emploi.cnrs.fr/Offres
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candidate will join the team employing collaborative robots and AI in materials design. Where to apply Website https://jobs.materials.imdea.org/apply/form?id=95310 Requirements Specific Requirements Ideal
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. Main tasks Study the existing Matlab code and understand the underlying MCR-ALS workflow Translate and implement the method in Python in a way that is compatible with SasView Investigate how the new
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modeling with SUMO. Programming transport modes with Python. Integration of climate constraints into a transport model. Emergency and disruption management. Where to apply Website https://sede.uvigo.gal