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: Large‑scale optimization and machine learning: Stochastic and/or (non‑)convex optimization methods, first‑order methods, variance reduction, distributed and parallel optimization, federated learning
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include 11 full-time faculty and their research labs, spanning a wide range of different imaging methodologies. Immediate responsibilities will include working with faculty recruits to scope and oversee
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geophysical models developed in parallel projects The work will focus on establishing the geometry, kinematics and reactivation history of basement-rooted structures and evaluating their role in
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? Work description The PhD positions are part of the research portfolio within Mechanical Engineering
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situ from boreholes or springs at different water levels (low water, high water, floods), and then to analyze their quality in the laboratory. Using the most relevant analytical methods, the aim will be
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About The University Swansea University is a research-led university that has been making a difference since 1920. The University community thrives on exploration and discovery and offers the right
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, for example: Large‑scale optimization and machine learning: Stochastic and/or (non‑)convex optimization methods, first‑order methods, variance reduction, distributed and parallel optimization, federated
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) serve as the cell of origin for the majority of high-grade serous ovarian cancers (HGSOC). In parallel, members of the transmembrane (TMEM) protein family have emerged as oncogenic drivers in multiple
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educational development at KI SÖS. Parallel to the educational duties, you are expected to conduct and develop research in internal medicine, with a particular focus on pulmonary medicine. The research is
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controlled crosses between individuals of different ploidies. Sequencing data are already available and include RNA-seq and DNA-seq data for these lines, as well as a reference genome for S. latifolia