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), completed doctoral study in Science. Computer literacy (MS office, management of databases). Very good command of oral and written language (German and English). Experience in thrid-party funding, experience
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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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. 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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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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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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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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of influence: As a University Assistant (Predoc) you will be part of the Computational Communication Science Lab (CCL), an interdisciplinary research network under the direction of Prof. Dr. Annie Waldherr 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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solid foundation for future professional challenges. Your workplace: As a Senior Lecturer, you will be employed in the field of computer-aided and digital teaching in chemistry. The focus of your work
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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