79 Computer-Science-"https:"-"Data-driven-Materials-Modeling" "https:" uni jobs at embl
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, APIs, and software libraries, applying state-of-the-art approaches including large language models, computer vision, and multimodal methods to biological research questions Contribute to open science by
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, and provide data-driven recommendations. Change Management Expertise: Experience in planning, executing and monitoring HR system changes and upgrades, with a strong ability to manage resistance and
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Analyze and interpret quantitative experimental data using Python, MATLAB, or similar computational tools , including image processing, automated data analysis, curve fitting, kinetic modeling
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in sharing and gaining access to well described, high quality sample and genomic data. You have A BSc or MSc in computer science or related fields Expertise in Python, including popular Python
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in sharing and gaining access to well described, high quality sample and genomic data. You have A BSc or MSc in computer science or related fields Expertise in Python, including popular Python
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, and provide data-driven recommendations. Change Management Expertise: Experience in planning, executing and monitoring HR system changes and upgrades, with a strong ability to manage resistance and
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maintainable software systems that support the long-term archiving and accessibility of nucleotide sequence data. You will have A university degree in Computer Science or a related field, or equivalent
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, Computational Biology, Structural Biology, Computer Science, Data Science, or a related field Familiarity with structural biology and molecular simulation data Experience with NLP/LLM-based scientific
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software engineering, computer science, engineering, physics or a related field, or an equivalent combination of education, training and experience. Demonstrated experience developing maintainable software
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software engineering, computer science, engineering, physics or a related field, or an equivalent combination of education, training and experience. Demonstrated experience developing maintainable software