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About us VIB.AI, the VIB Center for AI & Computational Biology, is a research center dedicated to integrating machine learning with deep biological insight to understand complex biological systems
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PhD student position on development of innovative bifunctional oxygen electrodes for SOC technology.
development of innovative SOC stacks gathering deep knowledge on electrochemical and structural characterization of energy technologies such as fuel cells and electrolyzers. Among the characterization
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well as experience in omics data analysis, and possesses solid English-language skills. Experience with programming, preferably Python and R, is required. Experience with deep learning frameworks, such as JAX
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. Who is it for? Applicants must be PhD candidates or researchers who obtained their PhD no more than four years previously. The KNAW values sustainability and promotes sustainable travel. We strongly
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behaviour as the temperature drops, combining quantum mechanics, large-scale molecular dynamics, and deep learning. Work with world-leading researchers at Warwick and the Max Planck Institute for Sustainable
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both independently and as part of an international, interdisciplinary team Assets•Experience with computer vision or deep learning (e.g. PyTorch, TensorFlow)•Familiarity with street view imagery or other
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generation of eco-intelligent electronics that balance performance, longevity, and environmental impact. The multidisciplinary nature of this PhD ensures that students develop deep expertise in energy-aware
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At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13 TV-L, part
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25th February 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in machine learning and large language models (LLMs
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sector, with a documented history of collaboration with forest companies. Knowledge of Deep Learning frameworks applied to forestry. Experience with synthetic data generation. About us The Department of