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involving environmental and biological samples, especially soil and plant-associated microbiomes. The candidate must have experience in analyzing complex VOC datasets, including processing raw PTR-MS (e.g
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, logistics platforms, industrial ecosystems, and regional transition actors depend on strategic partnerships across complex networks of port authorities, energy companies, logistics actors, industrial firms
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associated chemicals in complex samples as well as mapping of exposure-associated changes in lipid organization, protein secondary structure, or cellular biochemical fingerprints within endocrine responsive
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, design, and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting areas such as health, green transition, energy supply
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already speaking a Scandinavian language) You are a person who Thrives on complex processes with multiple agendas and stakeholders Have strategies for coping with projects that are necessarily going as
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complex analytical results into clear, accessible figures and visualisations that can be used in both academic publications and communication to non-academic audiences. It is an advantage if you have strong
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and computational biologists aiming to examine the factors and complexes governing the production and turnover of eukaryotic transcriptomes. What we offer The successful applicant is offered: Access
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with complex pre-clinical in vitro and in vivo models. Programming expertise in Python and R is desirable. As a person, you have good interpersonal skills, are inclusive and team-oriented and able
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international levels. Strong project coordination skills and the ability to ensure progress across complex, multi-stakeholder projects. The ability to work independently while contributing effectively
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for 3-year PhD positions in computer science with emphasis on formal methods. Possible topics include (but are not limited to) computational complexity, distributed systems, human factors, logic