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have deep knowledge on load modelling, as well as power system stability analysis and operation. Good understanding of control theory, especially system identification is expected. Good experimental
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countries (LMIC) with a focus on the private sector and political elites conducting econometric and experimental analysis related to the above work writing research papers as part of a dissertation project
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for donor kidneys. Central to this is the use of machine learning to evaluate the predictive value of biomarkers from various sources: donor-related data, perfusion fluid, and kidney biopsies. Kidney biopsies
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
resilient decarbonization. Your research will combine time-series analysis, supervised and unsupervised learning, and explainable AI methods to uncover the dynamic patterns preceding technological
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. Your work environment You will carry out this research as part of the ERC-funded RIPPLE project, led by Professor Giacomo Marangoni, and embedded within the Policy Analysis section of the Multi-Actor
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of the PRIDAS is developing and providing data science support services, processing and analysis methods, as well as management of highly complex multimodal data. Our research with primates involves a combination
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Do you enjoy working as a PhD on search for the extremely rare process of ttHH production in LHC Run-3 data? Or are you interested in focus on the reconstruction of two-Higgs decay channel into a
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Stage Researcher (R1) Positions PhD Positions Country Austria Application Deadline 31 Jan 2026 - 12:00 (Europe/Vienna) Type of Contract Temporary Job Status Part-time Hours Per Week 30 Offer Starting Date
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longitudinal study in glioma patients to identify natural speech markers predictive of postoperative prognosis, analyzing functional and structural brain data, and preparing research papers under the supervision
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system stability analysis and operation. Good understanding of control theory, especially system identification is expected. Good experimental or simulation skills are expected. Industrial experience is