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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align
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completed) in Natural Language Processing or a closely related area. Solid knowledge of machine learning, especially deep learning. Experience in model development and/or fine-tuning. A practical mindset
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packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in
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an advantage: Rodent social behaviour, empathy-related behaviour, aggression, fear, or reinforcement learning tasks. Computational modelling, Bayesian statistics, reinforcement learning models, or model-based
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the perspectives of the immune system and diseased cells. Those learnings will make it possible to improve clinical products, provide new strategies for finding targetable HLA-bound antigens and to decipher what/how
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Our online learning environment offers a wide range of training courses, e-learnings, and educational programs—from professional specialization to personal development. This allows you to keep growing
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(adaptive) imaging strategies and reconstruction. The research combines ultrasound physics, signal processing, machine learning, computational imaging, and clinical translation. Beyond your individual
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, as you’ll be working in an internationally diverse community and with international partners. Ability to learn independently and passion for research Team player, open to discussion and constructive
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of the clinical context where academic research is performed and data are collected. Proficiency in data science, large multidimensional and combined analysis of different data sets, e.g. with machine learning
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Are you keen to contribute to accelerating sustainability transitions through regulatory innovations and policy experimentation and learning? Enjoying transdisciplinary action research? Job