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to explain biological phenomena and disease mechanisms by leveraging biophysical theory and mechanistic, mathematical modeling. Our interests include the inflammatory responses to infection, the organization
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(M.Sc. or equivalent) or imminent M.Sc. degree in Computer Science, Mathematics, or a closely related field research experience, evidenced by publication(s) or a relevant M.Sc. thesis, good knowledge
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on performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate:** • An excellent academic
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for mathematics Experience with programming (e.g. Python, C++, CUDA etc.) Knowledge of information theory Good reasons to join: Look forward to a unique working environment on our international research campus
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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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, agricultural sciences with a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a
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sustainable bioeconomy. The four PhD projects are: Your Profile: Master’s degree (or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences
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experience in the use of mass spectrometry • Good working knowledge in the application of statistical analysis procedures • Sound knowledge of ecological and evolutionary concepts • Basic knowledge in the use
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experience in the use of mass spectrometry • Good working knowledge in the application of statistical analysis procedures • Sound knowledge of ecological and evolutionary concepts • Basic knowledge in the use
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)physics, chemistry, or a related field. A solid knowledge of the theory of molecular systems and statistical mechanics, as well as skills in molecular dynamics simulations, is highly desirable. Proficiency