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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 2 months ago
career level • Experience with national or international research collaborations • Teaching experience • Good English level (B2) LanguagesENGLISHLevelGood Research FieldMedical sciences » Veterinary
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considered. The candidate should be able to demonstrate quantitative data analysis skills and a good understanding of experimental research design. Experience in conducting behavioural experiments or using
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strong background in psychology, but other related areas may also be considered. The candidate should be able to demonstrate quantitative data analysis skills and a good understanding of experimental
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, computer science, machine learning, or natural language processing, focusing on AI for Social Good or similar. Excellent written and spoken English is required, since the project is carried out in an international
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environments. Experience with software such as R, Python, SPSS, Stata, Sawtooth, Qualtrics or similar tools will be considered an advantage. The successful candidate should have strong analytical skills, good
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graphics, machine learning and graphics programming, as well as a good command of English. Knowledge of data science and deep learning is an advantage. You demonstrate good team spirit, interpersonal and
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allowance) and attention for good workplaces. For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions What we
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partners. Therefore, the applicant needs to have good collaboration skills. The researcher also needs to be able to disseminate and communicate scientific results and knowledge within existing and new
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Sciences Posting Number R260124 Posting Link https://www.ubjobs.buffalo.edu/postings/63883 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89
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to become productive members of society and good citizens of the world. Rutgers teaches across the full educational spectrum: preschool to precollege; undergraduate to graduate and postdoctoral; and