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for High-Frequency Financial Time-Series Data Introduction Are you passionate about using advanced machine learning techniques to solve real-world problems in financial trading? Do you enjoy working with
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Vacancies PhD position on ‘Quantitative and Spatially Resolved Mechanical and Electrical Characterization of high tech functionalized Pigments‘ Key takeaways In this project, you will develop and
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of Law, department Law & Markets, is looking for a PhD researcher in Digitalisation, AI-technology and LGBTQ+ Rights (4,5 years, with 20% teaching tasks). Job description The selected candidate will be
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Introduction Health technology assessment (HTA) plays a critical role in ensuring that healthcare systems deliver value by informing decisions on the reimbursement and use of healthcare interventions
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the world, delivering competitive and successful high-quality research. The institute employs 500 people of which 275 are PhD’s or PostDocs. With its unique NanoLab facilities the institute holds 1250 m2
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at the very top of our game in research, technology, and economics, they will. And while the highly-publicized wave of high-frequency or “flash” trading based on sheer speed of execution might have reached its
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, you will focus on that. Your job In this PhD project, you will be part of a large consortium of six PhD candidates and three postdocs. Together, we aim to understand the working of storm surge barriers
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://romeijn.web.rug.nl/paper/2023_romeijn_-_VICI_project_description.pdf ), where you can find a detailed list of planned PhD and postdoc positions. Candidates can freely choose their research topic within the domain
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, with collaboration from: Alfen – BESS developer, Stedin – grid operator, Eneco – energy supplier, ENTRNCE – electricity market expertise provider, Kyos – developer of market optimization tools
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of Amsterdam. Interested in developing fundamental machine learning techniques for tabular data to democratize insights from high-value structured data? Then this fully-funded 4-year PhD position starting Fall