7 Computational Science Jobs in Wien
Ihr Aufgabenbereich
- Doctorate related to the above requirements
- Strong background in optimization and partial differential equations
- Strong background in numerical mathematics and computing
- Machine learning skills are welcome
- English skills needed
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Your Tasks
- Preparation and submission of an independent project proposal in a highly competitive national or international funding program in the field of modern art history of the Habsburg Monarchy, preferably using digital or computational methods
- Independent research activities and publications
- Engaged participation in the activities of the institute and the research unit
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Your Tasks
- Develop Neural Network models to predict three dimensional complex molecular cluster structures and thermo-chemical properties.
- Support cloud formation modelling.
- Support scientific data interpretation (e.g., CHEOPS, JWST) and preparation for future missions.
- Publication and support in proposal writing activities, and collaborate with group members.
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Your personal sphere of play:
- You develop an independent research profile in chemoinformatics and computer-aided molecular design in the context of drug discovery.
- With your expertise and methods, you lead and guide multi-disciplinary hit identification, hit-to-lead, and lead optimization projects.
- You take a key role in the research and management of the COMP3D group.
- You supervise the research conducted by master's and doctoral students.
- You contribute to the Department's teaching activities.
- You publish internationally and give lectures.
- You apply for projects and raise third-party funds.
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Your Tasks
- Editorial support of publication projects of the research unit
- Supervised academic activities in the field of modern art history and in particular Austrian Baroque
- Entering and editing information in databases
- Annotations of image and text data
- Engaged participation in the activities of the institute and the research unit
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Ihr Aufgabenbereich
- Conduct original scientific research in the field of inverse problems applied for extremely large telescopes (theoretical analysis, development and implementation of algorithms, simulations and experimental tests) Be part of a doctoral training and work towards obtaining a PhD in technical sciences
- Collaborate with scientists and students working in other fields covered by the mathematical and astronomical research network
- Publish scientific findings in renowned international journals and at conferences
- Complete trainings or short-term research stays at international collaboration partners
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Your personal sphere of influence:
We are looking for a highly motivated and creative PhD student to explore fundamental questions of planetary habitability related to Snowball Earth or Earth-like exoplanets. Possible topics could be the mechanisms that allow or inhibit water belt states as alternative scenarios for Snowball Earth, the impact of clouds, aerosols and hazes on the climate and habitability of Earth-like exoplanets, or the development of a new radiation scheme for climate model simulations with high atmospheric carbon dioxide. Whatever the topic, you will develop and run climate model simulations and combine the modeling work with theory and mechanistic understanding. You will have the opportunity to run global simulations with km resolution on some of the fastest supercomputers available for climate science. You will also benefit from our long-term collaborations on Snowball Earth and exoplanets with the Department of Astrophysics of the University of Vienna, the University of Chicago, Columbia University, and Peking University.
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