223 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" PhD positions in Netherlands
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Thursday 10 July. You will preferably start your employment on 1 September 2025. We can imagine you're curious about our application procedure . It describes what you can expect during the application
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We offer two 4-year PhD positions in Neurolinguistics to work on a project regarding language testing in awake brain surgery (see The PhD project, below). The two PhD candidates will be supervised
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awake brain surgery (see The PhD project, below). The two PhD candidates will be supervised by Dr. Adrià Rofes (daily advisor), Prof. Dr. Roel Jonkers (promotor), and Prof. Dr. Thomas Picht (co-advisor
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have the opportunity to design and conduct lab or survey experiments that reveal how people process economic information and form beliefs about future macroeconomics indicators. You'll have access
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/diversity-and-inclusion/ Our selection procedure follows the guidelines of the Recruitment code (NVP): https://www.nvp-hrnetwerk.nl/nl/sollicitatiecode and European Commission's European Code of Conduct
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; ● Engage in the full ML lifecycle: from problem formulation and data processing to model deployment and backtesting; ● Assist in the teaching of an undergraduate course in financial mathematics at UvA. Your
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underrepresented groups in particular to apply. For more information, see also our diversity policy webpage: https://www.rug.nl/about-ug/policy-and-strategy/diversity-and-inclusion/ Our selection procedure follows
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of the new HCU 2035, and In addition to her responsibility for biosafety and security, she also provides input on user requirements (URS) and design. As part of the Core Project Team. Your
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climate system. Your job As a PhD candidate, you will investigate how Arctic sea ice is changing and what role ocean warming - also known as Arctic Atlantification - plays in this process. You will use
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of application. Proof of English proficiency About the department The PhD student will join CAES, a group working on the most efficient and effective computer architectures of the future, from large-scale data