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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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: Large‑scale optimization and machine learning: Stochastic and/or (non‑)convex optimization methods, first‑order methods, variance reduction, distributed and parallel optimization, federated learning
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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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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute to the development and validation of novel
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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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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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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | about 2 months 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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Identifying novel regulators of colorectal cancer invasion School of Biosciences PhD Research Project Self Funded Dr Kyra Campbell Application Deadline: Applications accepted all year round Details
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interest in research focused on the valorization of such by-products. In parallel, consumer demand for clean-label and functional foods, together with increasing restrictions on synthetic additives, has
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to significant losses during processing, transport, retail and storage stages. In parallel, advances in sensor, information and communication technologies, together with increased computational capabilities, have