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Field
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in one or more of the following research areas is desirable: geometric numerical integration, structure preserving deep learning, stochastic differential equations, generative AI, numerical
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observations and the current climate, so that we can describe the effects of climate change and the impact to the financial sector? Are you our new colleague? We are looking for a PhD candidate to develop AI
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: Master’s degree in Electrical Engineering Ranked within the top 10% of their class in MSc and BSc, and have exceptional grades Good background in deep learning with familiarity in model training, inference
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 00:00 (Europe/Brussels) Country Germany Type of Contract Temporary Job Status Part-time Is the job
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programming skills (Python; familiarity with deep learning frameworks such as PyTorch or TensorFlow is an advantage); Affinity with probabilistic modelling and spatial data analysis; Interest in the physical
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engineering in a unique way. The Atomic Scale Processing group (Prof. Miika Mattinen) in the Department of Chemistry and Materials Science (CMAT), is now looking for: Doctoral researcher (PhD student) in thin
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advanced analytical approaches, including deep learning and machine learning, to improve disease subtyping and risk prediction. You should have a strong willingness to learn, enjoy tackling challenging
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features, the PhD will first learn an individualised cognitive simulator that models how a person generates expressive responses under emotional, social or conversational contexts. The simulated cognition
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(Prof. Miika Mattinen) in the Department of Chemistry and Materials Science (CMAT), is now looking for: Doctoral researcher (PhD student) in thin films for electrocatalysis Are you passionate about
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experience in Python and, more specifically, in common deep learning frameworks such as PyTorch and jax, for model training and inference have experience with embedded platforms such as FPGAs or RISC-V