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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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Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM) | Spain | 14 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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of programming with Python for either electron microscope control or for analysis of electron microscopy images. Due to the collaborative nature of the project, the researcher will have the opportunity
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efficiency). - Contributing to scientific validation, writing publications, and disseminating results. - Software development (C++/Python) in a ROS 2 environment and robotics simulators. - Integration
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methods of soil characterization, monitoring and management, Organization of field campaigns, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’, Python
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Key Responsibilities: Develop and implement high-fidelity CFD and FEA simulation workflows for modelling heat
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: https://www.list.lu/ How will you contribute? You will participate in applied projects in the framework of the risk evaluation of micropollutant contamination in surface and groundwaters, involving
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phylogenetics and address long-standing questions about disseminated tumor cell origins and fates. The candidate would join the laboratory of Cyrus Ghajar (https://research.fredhutch.org/ghajar/en.html ), which
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referencia. Habilidades de programación en Python y plataformas de aprendizaje profundo como PyTorch. Habilidades de comunicación oral y escrita en inglés. PhD degree in computer science, electrical
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digital solutions Practical programming skills, ideally in Python; experience in developing automation, interfaces, or data pipelines is an advantage Basic knowledge of data management, data modeling, and