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Mathematics, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge
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to explore material systems that host novel types of correlated electron ground states as well as pushing forwards the limit of the implementation of brain-inspired computing in materials. You will use a
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large genomics data and later incorporating the testing on known unwanted linkages. You will primarily be responsible for building a machine learning model and performing computational genomics
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Mathematics, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge
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), Hongyang Cheng (UT) and Tanmaya Mishra (UT). The project is part of the research programme DEEPNL , funded by the Dutch Research Council (NWO). The research programme is aimed at obtaining a better
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(UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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to critical metal exploration in magmatic settings. Training A personalised training programme will be set up reflecting your training needs and career objectives. About 20% of your time will be dedicated
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of closed-loop brain–computer interfaces aimed at restoring motor function in models of motor disorder. Some part of the role may involve teaching and up to 0.1 FTE of your time may entail teaching activities
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Program (https://arc-cbbc.nl/). Synthetic organic chemistry is a core discipline of the chemical sciences and a major challenge for the coming decades is the development of sustainable chemical synthesis
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fascinated by the incredible capabilities of neural networks? Are you interested in applying theoretical methods to understand computational efficiency in neural systems? If so, come and join us as a PhD