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robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part
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relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your
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. However, sharing in your network is appreciated.
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your professional network. You will also have opportunities to present your work at leading conferences, engage in international collaborations, and develop a strong professional profile in computational
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available1Company/InstituteRadboud UniversiteitCountryNetherlandsCityNijmegenPostal Code6525XZStreetHoutlaan 4Geofield Contact City Nijmegen Website http://www.ru.nl/ Street Houtlaan 4 Postal Code 6525 XZ STATUS
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expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands. Additional information If you would like more
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Wageningen Website http://www.wageningenur.nl Street Droevendaalsesteeg Postal Code 6708 PB STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo
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the guidelines of the Recruitment code (NVP): https://www.nvp-hrnetwerk.nl/nl/sollicitatiecode and European Commission's European Code of Conduct for recruitment of researchers: https://euraxess.ec.europa.eu/jobs
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other deliverables. Your experience and profile You have/are; a MSc degree in Biology, Neuroscience/(neuro-)immunology, or related fields; preferably experience with big data and omics analyses and coding
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and Chemistry at Leiden will enable the candidate to maximize their learning opportunities, participate in local research networks, and access leading research facilities. Candidate profile