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information about the Akelius Math Learning Lab, see: https://www.chalmers.se/institutioner/mv/akelius-math-learning-lab/ Who we are looking for The following requirements are mandatory: Doctoral degree in
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the equivalent of a doctorate in statistics, bioinformatics, mathematical statistics or equal subject is eligible for appointment as postdoctoral researcher. This eligibility requirement must be met no later than
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and expertise in brain imaging (MRI), image processing and machine learning. Coordinating projects within the research group, supervising students and writing applications are also included in the role
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We are looking for a postdoc to join our international team with a broad research focus from functional materials, electrode processing, to the high performance batteries. Become part of our
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on different projects related to biotechnological methods for producing recombinant silk proteins, characterization of these, spinning of fibers, protein engineering, material characterization and bioinformatics
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and electrolytes during operation of the battery cells. Project management duties as well as teaching may also be included, but up to no more than 20% of working hours. Requirements: PhD degree in
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of knowledge gaps, statistical processing and analysis of existing data, and writing both scientific and popular science articles. Course leadership and teaching within the Master’s program in Public Health
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application date. Documented pedagogical experience. Experience in image analysis and/or computer vision, especially in the context of medical imaging Development, implementation and validation of AI tools and
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subject area for this position is medicine, specializing in computational metabolomics and exposomics, with primary focus on processing and analysis of metabolomics and exposomics data, covering both method
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cloning, nucleic acid analysis, good understanding of DNA processing enzymes and scRNA-Seq protocols. Other Further, the project will be implemented in collaboration with other researchers at the Department