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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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, different time scales of predictability. Famous examples include various states in the transition to turbulent fluid flow or metastable chemical configurations. However, such transient stochastic phenomena
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Apply now The Mathematical Institute (MI) of Leiden University and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a PhD Candidate in Random Graphs and Complex Networks
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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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how centralization of oncology care influences accessibility, focusing on high complex interventional procedures for CRC patients. This includes assessing levels of centralization, patient travel times
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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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. Ensuring timely and consistent access to medical test results is crucial for improving the efficiency of healthcare providers. For example, doctors need to know when test results will be available to plan