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grant project “Driving innovation in crop resilience through Comparative QTLomics.” The selected candidate will contribute to five main objectives: 1. Apply large language models (LLMs) to collect
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, functional redundancy, resilience and other indicators of ecological integrity; compare trophic rewilding and passive-management trajectories, including the potential effects of large-herbivore and carnivore
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labour can cause changes in receiving countries labour market institutions. The postdoctoral researcher will undertake comparative case studies of companies’ use of migrant labour across three sectors
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teaching and supervision of bachelor's and master's students in areas related to your expertise. Your competencies We expect you to have: A PhD in electrical engineering, energy engineering, mechanical
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have: A PhD in electrical engineering, energy engineering, mechanical engineering, control engineering, operations research, applied mathematics, or a closely related field. Documented experience in
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, social influence, norms, identity, knowledge, and values. Using experimental, observational, longitudinal, survey, or other empirical data to develop, estimate, calibrate, compare, and evaluate
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collaboration across organizational and national boundaries. The project combines in-depth qualitative fieldwork across the four Nordic transmission system operators with comparative analysis, contributing
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wildtype animals, we aim to use CRISPRcas technology to produce knock-out lines, which will facilitate comparative physiological and ecological experiments to understand the cost, function and ecological
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Denmark, Norway and Sweden, compares media and AI literacy policies across five countries including Estonia and Finland, and develops gender-inclusive teaching strategies and policy recommendations
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hold a PhD, or have submitted a PhD thesis before the starting date, in computational materials science, physics, theoretical or computational chemistry, or a closely related field. The successful