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: Animal Science Project description Forage-based feeds are central to Swedish dairy production, and their protein content and degradability can influence nitrogen utilization, feed intake, and milk
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on occurrence data, chemical properties, environmental persistence, mobility and available samples; ii) applying target, suspect and non-target screening using LC-HRMS to identify known and previously
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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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science. Your main activities will include: planning and conducting field experiments; collecting data on crop growth, botanical composition, yield, forage quality and related plant and environmental
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such issues, we will use existing experiments, chronosequences, and survey-data for evaluating the effects from restoration on ecosystem services and collaborate with a multidisciplinary team of
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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