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, statistical software, biostatistical software) Understanding of bioacoustic principles Desirable knowledge: programming skills (preferably python or R), knowledge of machine- and deep learning, bioacoustic
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Michael Bronstein, AITHYRA Scientific Director AI and Honorary Professor of the Technical University of Vienna in collaboration with Ismail Ilkan Ceylan, expert in graph machine learning, invites
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computer-aided material development, the finite element method and machine learning Expertise in the simulation of functional materials and mesoscopic systems Expertise and experience in the simulation
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on new developments related to machine learning and data science. Your Profile Doctorate related to the above requirements Strong background in optimization and partial differential equations Strong
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machine learning concepts and semantic/graph technologies (e.g., Neo4j, RDF/SPARQL) or digital twin systems Experience with frameworks like Angular or React is advantageous Familiarity with Git and Docker
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research, teaching & administration, which means: You are involved in research projects and scientific studies in the area of Operations Research and Machine Learning. We expect you to complete your
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, cooperative systems, data mining and machine learning, education, didactics and entertainment computing, or Neuroinformatics. Across faculties, renowned researchers in the social sciences, philosophy, and
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and molecular dynamics) and data processing Prior experience on machine learning approaches is a plus Interdisciplinary background with work developed at the intersection between physics and biology
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Operations Research and Machine Learning. We expect you to complete your dissertation agreement within 12-18 months. You will work on your dissertation and its completion. You will independently conduct
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representation and reasoning) and bottom-up (e.g., machine learning) methods to study the representation of geographic categories and processes. While we welcome applicants from a broad range of themes and