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Lab) Employer VIB Location Ghent Closing date 17 Nov 2026 View more categories View less categories Discipline Life Science Job Type Researcher Employment - Hours Full time Duration Permanent
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mechanistic soil–root–plant modelling with experimental data to: determine how heterogeneous soil water potentials are integrated by root systems quantify how soil texture and root hydraulic properties
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systems, depending on sample availability, collaborations and scientific relevance. The project includes i) selecting relevant soil systems, soil matrices and contaminants of emerging concern based
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positions in the areas of biochemistry, structural biology, biophysics, cell biology, systems biology, and computational biology . Our community IMPRS-ML brings together two renowned Max Planck Institutes
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PhD student in resilient forage production systems Crop Production Science Description of the doctoral project Forage crops, particularly perennial leys, are central to ruminant production and
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geometry assurance, robust design, systems engineering, product development methods, automation, autonomous systems and industrial digitalisation. Links: Geometry Assurance & Robust Design: https
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Technology Technology Description of the doctoral project We are searching for a motivated PhD student to develop knowledge on how production systems for fast-growing broadleaf trees should change to
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c andidates will have a strong background in the philosophy of science, such that they are well positioned to make both scholarly and pedagogical/curricular contributions in their area. Candidates
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | 10 days ago
monthly salary of EUR 2.832,10 paid 14 times a year Closing date 1 Nov 2026 Website https://aithyra.at/ View more categories View less categories Discipline Biomedicine , Chemistry , Computing
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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