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methods You will work closely with: - Dr. Martin Ramacher (machine learning for environmental applications) - Dr. Matthias Karl (urban air quality modelling and emissions) and collaborate within a project
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, knowledge-driven models and AI-based decision support can be integrated to support resilient and energy-aware manufacturing systems. Special emphasis will be placed on multi-objective optimization, learning
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clubs. (5%) Mentor undergraduate students on research projects. (5%) Participate in career training/development programs. (5%) Qualifications Required Qualifications: PhD degree in Rehabilitation Science
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. Other duties of a similar scope as assigned.) Qualifications Required Qualifications Required PhD in Physics or Astrophysics by beginning date of appointment. Preferred Qualifications Python programming
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The University of Vienna is a cosmopolitan hub for more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that suits their
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: detection of objects and relations between objects, and use of these relations to infer new knowledge (i.e. reasoning); (ii) explore object affordances, learn the consequences of the actions carried out and
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must have a PhD in computer science, machine learning, or computational biology The position is initially for 12 months with the possibility of extension. Application : send CV, motivation letter, and
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-predicting-and-forecast… Requirements Specific Requirements You are an ambitious researcher with (or close to getting) a PhD in Family Sociology or Computational Social Sciences. You have a strong publication
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software components; Publish research results in high-quality international journals and conferences; Collaborate with researchers, a PhD candidate working on polyvocal knowledge representation, curators
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other researchers (MSc and PhD students, post-docs and project researchers), as well as with an extended network of international collaborators. Job description The selected candidate will work on the ERC