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offer you the opportunity to develop your skills on an ongoing basis. Enrollment in the VISESS doctoral school, with benefits described here: https://visess.univie.ac.at/phd-programme/ Equal opportunities
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the collaborative culture of our team and the department. You will require: • Completed doctorate / PhD in the atmospheric sciences (e.g., meteorology, climatology), physics, computational sciences, or a related
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technologies such as distributed IT systems, Internet of Things, IoT, cybersecurity, data science, artificial intelligence (AI), blockchain technologies, quantum and photonic technologies, wireless systems (6G
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degree in astronomy/astrophysics with affinity for programming, or in computer science/applied mathematics with affinity for astronomy/astrophysics • Main-author publications in renowned subject-relevant
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, limited to 4 years at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr. Claudia Plant The Faculty
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stiffness. The project will be computational in nature, involving monomer-resolved simulations of such macromolecules, calculating properties such as diffusivities and relaxation functions and performing
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The Computational Drug Discovery and Design Group (COMP3D, https://comp3d.univie.ac.at/) at the Faculty of Life Sciences focuses on developing computer-based methods, particularly those involving machine learning and
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teaching of the bachelor's and master's degree programs in philosophy as well as the MA program in Epistemologies of Science and Technology. In these areas, you will regularly teach courses on topics such as
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Job Description Based at our offices in Vienna (in a hybrid working scheme) we are recruiting for a Head of Medical Affairs, Switzerland/Austria Cluster - (f/m/d) About This Role: In this role you will steer our Medical Department in Switzerland and Austria, driving the execution of our medical...
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"Vienna International School of Earth and Space Sciences". This is part of your personality: • M.Sc. degree or equivalent in climate science, meteorology, physics, computational sciences or a related