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standards. About the research project The postdoctoral project will focus on precision tests of low-energy strong interactions via the ab initio modeling of open-shell, nuclear many-body systems and Bayesian
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of chemicals used in traditional processes and identifying new, sustainable alternatives. The candidate will also apply computational chemistry to model and refine experimental designs to better understand
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Statistics is offering a postdoctoral scholarship within the project “Phase transition in aggregation processes and network models”. The scholarship is full time for two years with starting date 1 January
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aligned with the group's interests. Topics that are of particular interest include: Language model interpretability, particularly mechanistic interpretability methods or applications of interpretability in
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(references 1-7). This is studied in genetic mouse models, in healthy human subjects as well as in myeloid malignancies. Key technologies applied towards these research questions include genetic/mutational
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, have enabled the creation of proteins with near-atomic accuracy. Models such as RFdiffusion, LigandMPNN, and hallucination-based frameworks can now generate symmetric oligomers, cages, and backbones
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microbiology assays, protein purification and biochemical assays. You will work with infection models, MS-proteomics analyses and advanced microscopy. In this role, you will belong to an interdisciplinary group
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assays. You will work with infection models, MS-proteomics analyses and advanced microscopy. In this role, you will belong to an interdisciplinary group at Chalmers, and will regularly interact with
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leave, duties in labour unions, etc. Preference will be given to candidates with proven experience in one or more of the following areas quantum field theories, lattice models, non-perturbative methods
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community, focussing on model battery systems, current collector materials, and simplified electrolytes. We will establish a lab-based NAP-XPS at Chalmers in 2026 featuring in-situ/operando battery