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opportunities for better design. AI-driven optimisation offers a promising parallel route forward. Techniques such as Bayesian optimisation have already proven successful in related contexts, such as optimising
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Sciences at Uppsala University, with its approximately 100 co-workers. We conduct extensive PhD education and have about 30 PhD students. The research schools MIT, GRASS, Nord-IB and FIRE are connected
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | about 1 month ago
Biological sciences » Nutritional sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Apr 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract
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23 Feb 2026 Job Information Organisation/Company University of Nova Gorica Department Human Resources Research Field Physics » Other Researcher Profile Recognised Researcher (R2) Positions PhD
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candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems (e.g. weather
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Sciences Center. In parallel, the department is extending its reach through new ambulatory care centers in New Albany, Dublin, and Powell, alongside established imaging sites across the region—enhancing
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facilities, such as the recently opened 820-bed inpatient hospital tower, a biomedical research tower, and the Interdisciplinary Health Sciences Center. In parallel, the department is extending its reach
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Network with 15 funded 3-year PhD positions in parallel. Your profile Master Degree in environmental/natural sciences or engineering, or similar. Experience with developing computational models Preferably
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application of ecological attributes to paleoecological data Molecular basis of repeated adaptation to challenging soils Parallel evolution of clonality in angiosperms The Genomic Basis of Partial
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validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and