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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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PhD position on past, present and future global inland-water methane budget Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline
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supervisors are experts in formative and programmatic assessment and have been actively involved in the LK-network from the start. Your qualities You have A MSc in a relevant field such as Educational sciences
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. Time series of hydrological change on orbital time scales, which includes long-term variability in the geographical range of monsoons – a crucial component of hydrology in the subtropics – and extreme
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of extreme weather events, future energy transition pathways must be designed to anticipate and withstand these risks. This PhD project focuses on designing climate- and energy drought-resilient decarbonised
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future. Organisation The University of Groningen has an international reputation as a dynamic and innovative centre of higher education offering high-quality teaching and research. Balanced study and
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accordance with the Dutch Collective Labour Agreement for Research Centres ("CAO-onderzoeksinstellingen"). The initial labour agreement will be for a period of 18 months. After a positive evaluation, the
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agreement will be for a period of 18 months. After a positive evaluation, the agreement will be extended by 30 months. The gross monthly salary, for a PhD student on a full time basis, is € 2,968 during
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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
, Technology and Culture, Knowledge Infrastructures and Sustainable Health. In the summer of 2019, Campus Fryslân has moved to the new faculty building De Beurs: the first all-electric, monumental educational
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quantitative discipline such as (Quantitative) Marketing, Econometrics, (Quantitative) Psychology, Data Science or related fields. Is skilled in working with time series, panel and/or unstructured data. Has