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Differential Equations, enriched with data-driven methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing a crucial role in tackling some of today’s
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Differential Equations, enriched with data-driven methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing a crucial role in tackling some of today’s
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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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The University of Vienna, Faculty of Chemistry, is home of the Vienna Doctoral School in Chemistry (DoSChem). DoSChem is the largest doctoral training program in Austria focusing on the field of chemistry and
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matter and computer simulations. Knowledge on programming is essential. Experience in using simulation packages will be appreciated. Excellent command in written and oral English (C1) Team player and high
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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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integrated into the structured PhD program of the “Vienna Doctoral School in Cognition, Behavior and Neuroscience from Biology to Psychology and the Humanities” (VDS CoBeNe; https://vds-cobene.univie.ac.at
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The University of Vienna, Faculty of Chemistry, is home of the Vienna Doctoral School in Chemistry (DoSChem). DoSChem is the largest doctoral training program in Austria focusing on the field of chemistry and
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require: Completed master or diploma in the atmospheric sciences (e.g., meteorology, climatology), or a related field; Programming and data analysis experience; A good team spirit and willingness
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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