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) biological knowledge about GRNs from bioinformatics and system biology, (b) graph theory and topological data analysis for network modeling from mathematics, and (c) robust machine learning (ML) and GenAI from
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. To be successful in this role you need to have the following qualifications Ph.D. degree in mathematics, physics or other subject of relevance for the position M.Sc. degree in mathematics, physics
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structures, etc to solve challenging problems is required (there will be a practical coding assessment during recruitment) A solid mathematical foundation is required (multivariable calculus, linear algebra
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technology, or applied mathematics, with a specialization in energy systems analysis, or energy economics. Strong written and verbal communication skills in English. The following experience will strengthen
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mathematical statistics (University of Gothenburg / Chalmers University of Technology) Prof. Mats Nilsson, pioneer in spatial genomics (SciLifeLab & Stockholm University) Integration into the national DDLS
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9 Feb 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Communication sciences Engineering Mathematics
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(PriSec) at the Department of Mathematics and Computer Science at Karlstad University. Research within PriSec is specialized in privacy-enhancing technologies (PETs) and privacy engineering, network
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MAX IV is looking for an LDM Scientist to work as a part of the LDM-RIXS group and contribute to the further development of LDM research areas at the lab. MAX IV currently has a number of LDM-relevant beamlines including FlexPES, FinEstBeAMS, HIPPIE, VERITAS and RIXS @ SPECIES. Each of these...
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machine learning, engineering, data sciences, applied mathematics, or another related field; or Have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including
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of Engineering Sciences and Mathematics. The Department has several other research topics relevant to materials research (e.g. Material Mechanics, Machine Elements and Solid Mechanics). Subject description