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-on experience with cutting‑edge experimental techniques, advanced scattering‑modelling methods, and open-source software development. Application procedure and contact: Applications and informal enquiries must be
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who are expected to receive their MSc degree soon are also encouraged to apply) Enthusiasm for new technologies and innovation processes You rejoice in application-oriented problems for industry
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from chem- and bioinformatics to computer vision and social network analysis. Machine learning with graphs aims at exploiting the potential of the growing amount of structured data in all these areas
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and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and social network analysis. Machine learning with
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research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and
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or Diploma in physics and written your thesis in the field of quantum optics. • You have experience with quantum foundations, photonic platforms, non-linear processes and table-top experiments. • You
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such knowledge is essential. Work Location(s) Number of offers available1Company/InstituteDepartment of Computer ScienceCountryAustriaCityInnsbruckPostal CodeA-6020StreetTechnikerstraße 21 aGeofield Contact City
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structured way Ability to work independently and as part of a team Flexibility, willingness to learn and travel Excellent command of written and spoken English Nice to have: Knowledge of academic processes and
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English Nice to have: Knowledge of academic processes and structures Teaching experience in courses for Master’s students What we offer: Work-life balance: Our employees enjoy flexible, family-friendly
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development Outstanding knowledge of empirical social research methods Advanced competence in statistical methods and computer programs for analysis of quantitative and qualitative empirical data (e. g. SPSS