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creating the podcast ‘ATreloaded’. Together with Prof. Zerbes and her team, you will produce the episodes, supervise the recording and prepare for publication. Your personal sphere of influence: Your task as
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performing and publishing academic research at peer-reviewed conferences and journals is a plus. You are an experienced programmer, preferably using the Python programming language. Experience modeling and
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The Doctoral School Computer Science DoCS (https://docs.univie.ac.at ) founded in 2020 offers a structured doctoral programme that supports early-career research in the areas of Computer Science and Business
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The Doctoral School Computer Science DoCS (https://docs.univie.ac.at ) founded in 2020 offers a structured doctoral programme that supports early-career research in the areas of Computer Science and Business
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administrative colleague, offers you the opportunity to research and teach in an internationally networked team while developing your own academic profile. Your future tasks: You will actively participate in
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science, including open data, open materials, and preregistration. Applicants are asked to describe how they have implemented these principles in their previous research and how they plan to promote them in
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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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language. The department employs more than eighty staff and presently around 2500 students are enrolled in its Bachelor, Masters, Diploma, PhD and Teacher Education programmes. You will be working in the area of applied
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approaches to answer them. Our research covers a wide range of topics, from the evolution of flowers, over pollination biology, to paleobotany and palynology. We are currently offering a postdoctoral position
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, and high-performance computing for biotechnological applications. The project aims to develop computational tools for bioprocess optimization, combining modeling, simulation, and data-driven methods