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is part of the national research programme DDLS. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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science, or a related field. Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
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, security, and next-generation communication systems. The division also plays a key role in engineering education, particularly within the Master's programme in Information and Communication Technology. You
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: A doctoral degree in Robotics or biomechanics or classical majors such as Mechanical/Electrical Engineering/Computer Science/Mathematics with a specialization in themes such as robotics, systems
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4 Jul 2026 Job Information Organisation/Company Karolinska Institutet (KI) Department Karolinska Institutet, Department of Physiology and Pharmacology Research Field Medical sciences » Medicine
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studies. About the DDLS program Data-driven life science (DDLS) combines data, computational methods, and artificial intelligence to study biological systems from molecular structures to human health and
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surfaces. This work builds on our ongoing, long-term research program centered on spin-split electronic structures of quantum wells—an area that has attracted significant attention in the context
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(UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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are united in our efforts to understand, explain and improve our world and the human condition. The announced PhD position is within the CCS Group of the Department of Process and Life Science Engineering