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knowledge of Modern Greek, Ancient Greek, and Latin IT skills, computer literacy Ability to work in a team Desirable: Knowledge of university processes and structures Initial experience in academic writing
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gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing
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exploration and curiosity and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The Doctoral School Computer Science DoCS (https
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gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing
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astrophysics and a strong background in computational astrophysics. The job consists of two equally important parts: 1) to contribute to the research in the area of atmospheric evolution and 2) to take the lead
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(maximum 4 pages). With copies of the approved doctoral thesis agreement and annual progress reports, and the ECTS transcript of your doctoral programme. With a letter of support from your supervisor
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SUSTECH – Accelerating Sustainable Technological Trajectories with Computational Chemistry and Machine Learning. Where you will be: The position is hosted by the research group Technology and Innovation
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: https://doschem.univie.ac.at/ The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it
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relevant field Excellent command of written and spoken English (C1 level or higher) Basic experience in academic writing Successful completion of the VBC PhD programme selection What we offer: Employment
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program line “Human Rights and International Criminal Law”, which is to be established at the LBI-GMR; in this context you will also assume leadership responsibilities; Independently developing research