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your own learning process . An excellent technical infrastructure, on-campus children's day care and sports facilities. Unlimited access to the modern on‑campus TU/e Student Sports Center at an
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-scale compound drivers. We will leverage machine learning methods to bridge the gap between drivers at coarse model resolutions and impacts captured by high-resolution observations. Job description Arctic
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yourself. Independent researcher: You are interested in mixed-methods research and are willing to learn a new research methods and take responsibility in its execution. Curious and open-minded: You have
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for single-cell and spatial omics Deep learning and representation learning to model cellular states and interactions Explainable AI for biomarker discovery and patient stratification Cross-disease modeling
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Amsterdam Rotterdam); teach seminars and/or practical for bachelor and master students; supervise bachelor and master student projects; present data at local, national and international scientific meetings
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and Delft University of Technology. Curious to learn more about the project? Feel free to visit our website , where you’ll also find other exciting PhD opportunities related to this collaboration. In
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-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process . An excellent technical
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mechanics and/or applied mathematics. A research-oriented attitude and a strong drive to learn and push the state-of-the-art. A creative mindset, and the ability to take initiative. Demonstrated experience
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your work is inherently collaborative. You will spend a dedicated time at the Amsterdam Medical Center (AMC) with Prof. Ed van Bavel. There, you will learn to perform blood flow perfusion experiments in
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interested in using AI to unravel the mysteries of the brain? Do you want to perform cutting-edge NeuroAI research and leverage deep learning to understand human vision? Then check out the vacancy below and