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. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods such as
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to learn German Computer skills: MATLAB and/or R desirable You are motivated and self-propelled You are flexible and creative You should be a team player with high social skills What we offer: Work-life
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to be coupled to model-free analysis of molecular dynamics simulations. This includes work in the biochemical wet-lab as well as with prototype NMR spectroscopy and computational tasks. You have previous
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consists of several post-doctoral and PhD students with backgrounds in psychology, cognitive science, neuroscience, computer science, engineering, and physics. The focus of our research is to develop new
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profile in applied or computational PDEs, who apply their expertise to address contemporary societal challenges. Areas of application may include, but are not limited to, climate modeling, ecology and
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the native language), or the willingness to acquire German Ability to work in a team, strong organizational skills, reliability, and attention to detail We also expect: Good general computer skills and
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instrumental analytical methods and, on the other hand, will deal with the computer-aided analysis and processing of large analytical-chemical data sets. Experience and knowledge of digital teaching and
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. Ready to be part of our team? Let’s shape the future together! About the team: The Computational Materials Discovery group is looking for a postdoctoral researcher working in the field of machine learning
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written), fluency in German is an advantage; good computer literacy and skills; strong communication (both oral and written in formal and informal situations), presentation and organisational skills; target
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Master programs in (International) Business Administration, the Master of Banking and Finance, and the PhD program in Finance, especially within the framework of the Vienna Graduate School of Finance (VGSF