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-funded research project dedicated to experimental quantum foundations and indefinite causal order. You will present your research plan to the faculty and complete a dissertation agreement within 12-18
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, Statistics, or a related quantitative field. A solid background in machine learning, statistics and/or mathematics. Strong programming skills in Python. Ideally, also proficiency in at least one major deep
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research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual basis. You will work on your dissertation and towards its completion in
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, which means: You are involved in a well-funded research project on the advertised research topics. You will present your research plan to the faculty and complete a dissertation agreement within 12–18
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research project dedicated to experimental quantum foundations and indefinite causal order. You will present your research plan to the faculty and complete a dissertation agreement within 12-18 months
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art history, excellent English and or German, good computer skills (knowledge of a programming language would be advantageous). Extent of Employment: 30hours/week. Job grading in accordance with
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background or strong interest in machine learning, graph theory, and their mathematical foundations. Solid programming skills Experience with machine learning libraries or willingness to acquire Excellent
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some administrative duties Complete the training programme for PhDs at the University of Vienna Disseminate and present your work and represent the group through both scientific and public channels and
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skills, including MS Office and other programs e.g. photoshop High-resolution confocal imaging experience Basic programming skills Excellent knowledge of Drosophila genetics Very good ability to explain