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Infrastructure EU-OPENSCREEN. A web server will be developed for predicting modes of action of small molecules based on a multimodal deep learning model. Workplace and Scientific Guidance: The work will be carried
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• Demonstrated research expertise in data science areas such as: machine/deep learning, big data mining and analytics, visualizing and communication data, data driven modeling and prediction, rich media data
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projects involving multiple data types. ? Explore and develop tools for analyzing novel data types. ? Develop new methodologies for integrating data and predicting tumor outcome, subtypes, molecular
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team of Portfolio Managers and subject-matter experts to conduct rigorous financial due diligence, develop financial models, monitor portfolio company health, and provide the financial intelligence
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place to study and work. Temporary researcher position There is a vacancy for a position as researcher in ice dynamics and climate modelling at the Department of Earth Science. The position is for a
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, we study biomolecular function and interactions, and develop new methods for disease prediction, diagnosis, prevention and treatment. Our research creates impact in two focus areas: human health and
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team member to help us with that goal. The laboratory studies breast and ovarian cancer with the goal of predicting response to therapy and developing new therapies (test new drug candidates). We use
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to identify trends, variances, and opportunities for improvement. Support the development of long-term financial strategies and risk assessments. Builds predictive models and forward-looking analyses
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components. To strengthen our research group Molecular Modeling / Section III, we are currently looking for a committed PhD Student (m/f/d) to start on 15/01/2026. The position is part-time (TV-L 13, 65%) and
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systems to ensure robust tracking and reporting. Develops and delivers comprehensive financial reports and analytic dashboards for grants and receivable status. Develops sophisticated financial models