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Nature: Use sound/network data as insight for green transitions Your qualifications The candidate must have: Graduated at Master’s level in ecology, biology, applied mathematics, computational science
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degrees, competencies and experiences are considered meritorious: • Hold a Master’s degree in computer science, AI, ML, data science, or equivalent subject. • Demonstrate proficiency in English (reading
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PhD Student position in Biology, specialisation in Environmental Science Uppsala Reference number SLU.ua.2026.2.5.1-2316 Department of Aquatic Resources (SLU Aqua) Third-cycle subject area Biology
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experience through field experimentation, data processing, statistical analysis, scientific writing, and the communication of research findings. You will work closely with researchers at SLU and with
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Doctoral student in Medical Science - Multimodal profiling of cellular function Reference number PAR 2026/741 The University of Gothenburg tackles society’s challenges with diverse knowledge. 58 000
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, computational science, data science or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in ecology, biology, applied mathematics, computational science
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agricultural data with mass and nutrient balances, scenario modelling, and life cycle-based, techno-economic and socio-economic methods. Data will be drawn from research, statistics, literature and national
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Umeå Proteomics Platform. https://www.umu.se/en/research/infrastructure/umea-proteomics-platform/ The project is led by Sandra Jämtgård, Department of Forest Ecology and Management, SLU in
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collaborators from across the Nordic countries and North America. The project will use samples and data collected from Arctic/alpine lakes in Sweden and other circumpolar regions. Implementation
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Doctoral student in Medical Science - PhD position in neuro biomarker research Reference number PAR 2026/730 The University of Gothenburg tackles society’s challenges with diverse knowledge. 58 000