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at cell membranes; Apply machine-learning models trained on simulation data to study how lipid composition and genetic variation influence the conformational and phase properties of membrane-associated
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areas at the department include economic growth and structural change, innovation, energy and sustainability, development economics, and economic demography, as well as financial history and education and
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led by Professor Johan Malmström develops techniques in quantitative and structural mass spectrometry to analyze protective antibody repertoires at high resolution. This detailed information
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the organization of DNA and its relation to the dynamic 3D-structured chromosomes. The student will form a part of our new NEST initiative funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP
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on inorganic, organic, polymer and materials synthesis, as well as advanced structural analysis and characterization, with applications spanning nanomaterials, energy storage, and catalysis. Work duties The
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, the applicant’s project plan will be assessed based on both its scientific quality and its connection to the overall structure and aims of the research project. Type of employment Limit of tenure, four
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, it is crucial to evaluate whether increasing broadleaf stands effectively enhances biodiversity and how these effects vary with landscape context. Additionally, the interaction of forest composition
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Chemistry (experimental/computational physical chemistry) -Transition metal photocatalysts studied by femtosecond X-ray science with a focus on hybrid experimental/machine-learned structural dynamic analyses
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above Qualifications Appointment to a position as a researcher requires that the applicant has a PhD. Required qualifications: a PhD within within the field of microscale acoustofluidics postdoctoral
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multidisciplinary team of postdoctoral fellows, PhD and master’s students, and technical staff conducts cutting-edge translational research. We are equipped with state-of-the-art facilities, including a comprehensive