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- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Published today
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- University of Amsterdam (UvA); Published 21 Nov ’25
- University of Amsterdam (UvA); Published yesterday
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- Vrije Universiteit Amsterdam (VU); Published 21 Nov ’25
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, machine learning, and pattern recognition. The successful applicant will have: very strong programming skills and experience with deep learning libraries; strong python and object-oriented programming
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the measurement instrument in close collaboration with our industrial partner, Veridis Technologies. An ideal candidate has experience in vibrational spectroscopy and spectral processing. Expertise in deep learning
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skills: Good knowledge of ML/AI based techniques to develop fast surrogates (deep neural networks) and capability to develop own efficient model learning schemes (deep learning techniques, representation
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(“overparameterized”) machine learning models, like probabilistic graphical models, deep neural networks, diffusion models, transformers, e.g. large language models, etc. SLT is based on the geometrical understanding
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perception systems, using deep learning and simulation-to-real domain adaptation techniques. You will work with a multidisciplinary team, contributing to fundamental and applied research. Your role will
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, interdisciplinary project. At the end of the project, you will have: a deep understanding of the hydrodynamic processes that control the dispersion of buoyant macroplastic items in the coastal zone; expertise in
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developing and improving the Parcels-code.org code; working within a large, interdisciplinary project. At the end of the project, you will have: a deep understanding of the hydrodynamic processes that control
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The research project “ AMALTHEA:enAbling a Model driven deep understAnding of the roLe of gender Towards a Holistic solution against Extremism and radicalisation Activities” is funded by
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-purpose deep learning frameworks, such as PyTorch; An interest in and ability to share knowledge with other ESA organisational units. You should also have good interpersonal and communication skills and
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risk of cardiovascular disease. Your main tasks and responsibilities are: developing deep learning-based model for detection and quantification of coronary calcifications in contrast-enhanced CT images