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This position focuses on investigating vehicle-track-ground interaction dynamics with a particular emphasis on the critical speed induced by high-speed trains. The candidate will contribute
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on understanding the feasibility of climate action and developing approaches for anticipating transitions. The group has a rich international network and a strong funding track record, including with an ERC Starting
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these may be taken into consideration. We are looking for someone with a Ph.D. in neuropharmacology, or a related discipline, strong quantitative skills, a reasonable track record, and an enthusiastic
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practical experience in cell and molecular biological studies of mitochondria, mitochondrial proteins and/or DNA-binding proteins. The candidate is expected to have a strong track record in a relevant field
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good track record of published articles in peer reviewed journals highlighting findings from your research and experimental activities Demonstrated ability to work independently and effectively Good
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expected to have a strong track record in a relevant field of research, documented by first authorships in peer-reviewed original publications of high quality. Previous experience in the fields
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strong funding track record, including with an ERC Starting Grant and as part of a MISTRA network on Low-carbon Electrification in Sweden. Who we are looking for The following requirements are mandatory
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Background in magnetic material research You have a good track record of published articles in peer reviewed journals highlighting findings from your research and experimental activities Demonstrated ability
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, computer science or similar. A successful candidate should have deep and broad knowledge and experience in machine learning and related areas with a proven academic track record. Publications in leading AI/ML
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communication skills in English are important. A strong publication track record and good manuscript writing skills are desirable. Experience with biopsy specimen collection, flow cytometry, cell culture, and