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that can be used for training machine learning and deep learning models. You will work in tight collaboration with other researchers in Nijmegen, Delft and at the Hubrecht Institute (van Oudenaarden group
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you like to learn more about what it is like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Does this sound like you? You hold an MA or Research MA degree in
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adaptation of state-of-the art machine learning codes to deal with redshift distortions, intrinsic (galaxy) biases, survey selection biases and in particular the complications encountered in photometric
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., machine learning, stochastic dynamic programming, simulation). Affinity with (food) supply chain management is preferred. To collaborate with and to co-supervise MSc thesis students and internship students
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that activity-silent mechanisms, such as short-term synaptic plasticity, also play an important role. We will experimentally target these two mechanisms, using EEG in combination with machine learning to reveal
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days off. With full-time employment, you can choose between 30 or 41 days of annual leave instead of the statutory 20. Additional employment conditions Work and science require good employment practices
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observations. Your major challenge is in model development, and there is room for you to develop machine learning applications in the field of firn modelling. If successful, your work will lay the foundation
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accessible AI and XR technologies for people with disabilities through inclusive Human-Computer Interaction (HCI) and participatory design methods. Your job Around 25% of the Dutch population lives with long
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X-ray spectroscopy, methane isotopes, metagenomics and transcriptomics), combined with reactive transport modelling. Your teaching load may be up to 10% of your working time. Would you like to learn
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EGOS. For a full profile, see the attachment below the vacancy. This position has no teaching responsibilities. Would you like to learn more about what it’s like to pursue a PhD at Radboud University