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charge of: · Developing LCI models and using LCA to assess different scenarios of energy storages in batteries, as well as the realization of preliminary LCAs for novel substances
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consortia of cross-feeding bacteria ” • Generate and characterize bacterial mutants • Perform coculture experiments with different bacterial strains • Analyse the formation of clusters among bacteria using
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2D convolutional neural networks in Python. This is a part-time position (5 hours/week) funded until 31/03/2026 with a possibility of extension and is suitable for a Ph.D. student with relevant
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consortia of cross-feeding bacteria ” • Generate and characterize bacterial mutants • Perform coculture experiments with different bacterial strains • Analyse the formation of clusters among bacteria using
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position within a Research Infrastructure? No Offer Description Department of Soil and Environment You will be part of a research team working in different projects related to agricultural water management
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deeply committed to using that knowledge to make a difference in people's lives. The department has 32 faculty members, some with dual appointments that enrich our transdisciplinary approach to design
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to enhance human thriving. We produce cutting edge knowledge and are deeply committed to using that knowledge to make a difference in people’s lives. The department has 32 faculty members, some with dual
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programming expertise of tools or performing analysis in Python and R is an advantage excellent oral and written communication skills in English skills in written and oral Norwegian/Swedish/German are
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error correction. Who we are looking for Excellent M.Sc. degree in Computer Science, Physics, Mathematics, Quantum Technology, or related field Strong Python programming skills (required) Knowledge
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- and micro-flow LC-HR-MS/MS for comprehensive multi-omics analysis. Proficiency in Python and R (essential) for data analysis, modeling, and visualization. Ability to work effectively within diverse