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high-performance computing, automated workflows and reproducible data analysis; proficiency in Python or a comparable language is expected. A publication record appropriate to career stage that
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. Evaluate the nutritional value of fermented rapeseed meal and seaweed products and assess their effects on nitrogen (N) and phosphorus (P) excretion, methane emissions, and pig health. Evaluate
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Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
thermal transport and ion migration in solids. Strong scientific programming skills and experience with Linux-based high-performance computing, automated workflows and reproducible data analysis
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experience and the opportunity to work across two leading labs in plant genomics and AI. Computational ressources, including the GenomeDK high-performance computing cluster, with growing capabilities such
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University of Southern Denmark (SDU) Location Odense, Fyn (DK) Salary Competitive Closing date 7 Sep 2026 View more categories View less categories Discipline Computing , Life Science Job Type Postdoctoral
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functioning or ecological stability; experience with remote-sensing products and cloud/geospatial computing is an advantage; a publication record that is competitive for the candidate’s career stage
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information and quantum computing, as covered by the section Analysis and Quantum, the Center for the Mathematics of Quantum Theory (QMATH), and the Quantum for Life Center. For more information about the above
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position is funded by a Villum Young Investigator grant awarded to Assistant Professor P. André D. Gonçalves, who will supervise the PhD research. The position is available starting 1 March 2027 or as soon
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nitrogen (N) and phosphorus (P) excretion, methane emissions, and pig health. Evaluate enteric methane emissions associated with feedstuffs, feed additives, and roughages used in organic pig production
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level, which is in Danish). Scientific computing, possibly with different programming languages (e.g., Python, MATLAB/Simulink). Moreover, the candidate shall demonstrate the following experiences