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Python or R are required. Basic understanding of statistical analysis in large dataset is expected. Fluency in written and spoken English. Merits: Experience in applying machine learning and/or network
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research in Department of Architecture and Civil Engineering focuses on characterisation and modelling of complex geomaterials, in particular natural clays. The research activities aim to bridge
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change, and communicate strategic decisions. Preferred Qualifications: Experience in leadership roles within complex, knowledge-intensive organisations. Experience in managing staff, budgets, and
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) strategies, primarily revolving around interpretable ML and generative AI, to study complex biological processes. This project combines timely analytical challenges with deep rooted applications in life
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Uppsala and in Sweden at large. For information about the SciLifeLab fellow program, see https://www.scilifelab.se/research/#fellows. SciLifeLab Fellows are also part of a broad national network of future
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technology areas. - Actively participate in the SEPS project team, contributing to internal and external networking, knowledge sharing and project dissemination activities. - Conduct high-quality research and
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become a life-saving option for advanced cancer patients. However, only a minority of patients develop a durable response. Many researchers are investing efforts to understand the complexity of anti-cancer
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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SHAPE THE FUTURE OF COMPLEX ENERGY-DIGITAL INFRASTRUCTURE SYSTEMS.This doctoral position at Chalmers University of Technology offers a unique opportunity to conduct advanced research on the modeling