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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 3 months ago
the next six months. Relevant research experience is highly advantageous and will strengthen your application in the competitive selection process. Internship experience is considered as a plus. Candidates
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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
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style and initiative Strong teamwork and organizational skills Comprehensive computer skills We Offer Meaning: We offer meaningful work for the world of tomorrow. Our internal continuing education program
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. Work Location(s) Number of offers available1Company/InstituteDepartment of Computer ScienceCountryAustriaCityInnsbruckPostal CodeA-6020StreetTechnikerstraße 21 aGeofield Contact City Innsbruck Street
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process Interested candidates please send a motivation letter, a CV including publications (if available), copies of university degrees and courses (including obtained grades), and the names and e-mail
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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
cycles. You will contribute to the design, construction, and operation of an upscaled SMTES prototype (20-foot container scale) to investigate realistic thermal behavior, temperature stratification, and
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Selection Process:· Document Review: The recruitment board will assess all applications. Shortlisted candidates are selected based on eligibility and qualifications. Online Interviews: Scheduled
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research interests or alternatively the topic of your Master's/Diploma thesis (max. 1 page) and any related presentations/publications with your application. Teamwork and co-operation skills in working with
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; experience abroad an advantage Good computer skills Please enclose written reflections on your dissertation project with your application (max. 5 pages) Ability to work in a team, motivation, commitment
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, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics are encouraged to apply. ISTA processes applications for its PhD program