17 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" PhD positions in Estonia
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statistics of mean and extreme wind events over the Baltic Sea region. Tellus A, 67, 29073. https://doi.org/10.3402/tellusa.v67.29073 Björkqvist, J.-V., Lukas, I., Alari, V., van Vledder, P.G., Hulst, S
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beneficial: Working knowledge of statistics and usage of MATLAB or other software for statistical analysis; Experience with machine learning and data mining. Good Estonian language skills Application procedure
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three challenging fields of computer simulations, nano-manipulation, and biomedical engineering. MATTER builds on the well-equipped core facilities of UT and establishes synergies with the most
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for mitigation of marine-induced hazards, application of machine learning techniques and opportunities provided by AI. Even though the listed advanced topics are mostly at the cutting edge of fundamental research
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multidisciplinary approaches, including advanced bio-imaging, image analysis, cell biology, genetics, and molecular biology. Find out more about our research group here: https://tymri.ut.ee/en/content/developmental
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integrating modeling, machine learning (ML), and advanced control methodologies. The research will focus on designing AI-driven algorithms to assess battery health, predict degradation trends, and optimize
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urban design with microclimate simulations and measurements, GIS and Digital Twin technologies, and machine learning. The work will be part of a Horizon pilot project aimed at realizing a scenario-based