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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 closely
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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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. 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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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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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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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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Biochemical Network Analysis group, led by Jürgen Zanghellini . The team focuses on mathematical modeling, artificial intelligence, and high-performance computing to study metabolic networks and optimize
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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
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174 Research Services and Career Development Working hours: 40 | Collective bargaining agreement: §54 VwGr. IVa Limited until: permanent Reference no.: 4529 The DLE Research Services and Career Development is looking to fill the position of a Researcher Career Development Coordinator. In this...
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actively participate in research, teaching & administration, which means: Merging computer science and qualitative and quantitative social science methods, you explore the conceptual data models