579 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Netherlands
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- Delft University of Technology (TU Delft); Published yesterday
- Eindhoven University of Technology (TU/e); Published yesterday
- Holomicrobiome Institute
- Leiden University; Published today
- Max Planck Institute for Psycholinguistics
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- University of Amsterdam (UvA); Published yesterday
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multimodal data integration across organismal domains and data modalities, making use of state-of-the-art methodologies such as systems/network analysis, artificial intelligence and machine learning and/or
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computer models as well as being in the lab. You have affinity with analytical determination of pharmaceuticals in difficult matrices. You are able to dive into topics outside your current knowledge base
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applicants should have a strong academic record with a solid background in Machine Learning. Knowledge of Vision-Language-Action models and Novel View Synthesis techniques is a strong plus. Good programming
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prestigious ERC Consolidator Grant in a great interdisciplinary institute in Amsterdam. Join us! Are you passionate about machine learning, natural language processing and generative AI? We are seeking a
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History). Join a research team on Art and Liberation during 20th-Century Afro-Asian Decolonization! As a postdoctoral researcher in Entangled Freedoms(https://entangledfreedoms.com/about/ ), you will be
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a national and international scale, yet small enough to offer a personal and engaging learning experience. In this way, we contribute every day to a safer and more sustainable world. Impact with law
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of theoretical computer science researchers in Amsterdam (https://theory.amsterdam ). What are you going to do? You are expected to: carry out original research in the field of theoretical computer science; have
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to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint
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, the fusion community has started to develop fast surrogate models based on Machine Learning / AI models to speed up significantly the employed tools. Such tools have demonstrated to be generally applicable and
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degree in Biomedical Sciences, Molecular Biology, Physiology, or a related field. Affinity with stem cell and cardiac biology – You have experience with, or a strong desire to learn, hiPSC culture