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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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-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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experiments: homodyne and heterodyne detection, programming. You have an excellent command of written and spoken English. What we offer: Inspiring working atmosphere: You are a part of an international academic
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particular in quantum phase-space methods. You have a proven experience in numerical methods and programming, particularly the simulation of PDEs. Excellent written and spoken English. What we offer: Work-life
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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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have experience with the usual tools for advanced experiments: programming experience: Matlab, Python, LaTeX. You have excellent command of written and spoken English. What we offer: Inspiring working
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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