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The Department of Mathematics at Stockholm University has with its long tradition of excellent research a prominent place in Scandinavian mathematics. The department consists of three divisions
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, Stockholm Solna. Due to the highly interdisciplinary nature of the project and the position (applied mathematics), the successful candidate will also be an integral part of Johan Karlsson’s group at KTH
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applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at
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Stockholm University. Requirements: An MSc, including a thesis of at least 30 hp in Biotechnology, Bioinformatics, or related fields. English as a working language, with Swedish as a strong merit. Experience
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) Computer Science/ Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30 credit Degree Project (thesis). Additional
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for analytical and creative thinking initiative independence ability to collaborate written and oral proficiency in English. The candidate should hold a MSc in Chemical and/or Process Engineering, Nanotechnology
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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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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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at least one of the following areas (e.g. from your MSc thesis): Culture and characterization of mammalian cells, preferably cancer or immune cells Microfluidics systems for biomedical applications
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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