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Field
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fungal communities may be changing through time, and infer the functional significance of this, in terms of changes in organic matter composition, and C accumulation rates. About the position The postdoc
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Network Inference https://www.umu.se/en/ucmr/ec-postdoc-programme/ncrna_net-development-of-a-novel-approach-to-lncrna-mrna-regulatory-network-inference/ 7. Virome–vector competence shifts: How mosquito
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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