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agreement has been signed Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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location in Vienna we are seeking a: Your qualifications as an Ingenious Partner: Completed technical Master’s degree in the field of data science, computer science, applied mathematics, transport planning
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The AITHYRA-CeMM International PhD Program in AI/ML, Molecular Technologies and Systems Medicine Do you want to work in a creative, free-minded scientific environment at the interface of life
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engineering, energy informatics, or a related field Solid programming skills, ideally in Python, and experience or interest in data analysis, machine learning, modelling, or simulation of energy systems
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you will be part of the research team of Univ.-Prof. Tarja Knuuttila. The main research areas associated with this professorship are general philosophy of science, with focus on scientific modeling
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analytics, mathematical modeling for real-time applications, process automation, and control of complex dynamic systems for industrial use. Within VAC, the Competence Unit Assistive & Autonomous Systems (AAS
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analytics, mathematical modeling for real-time applications, process automation, and control of complex dynamic systems for industrial use. Within VAC, the Competence Unit Assistive & Autonomous Systems (AAS
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solutions and data processing pipelines for computational modeling, including data analysis and preparation of results for publication. You sign a doctoral thesis agreement within 12-18 months and complete
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods
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the complex drivers of landslide risk in rapidly urbanising tropical cities. The project will develop a hybrid modelling framework combining process-based and statistical methods to examine causal feedbacks