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, Erlangen and Bayreuth addresses this problem in a joint effort by around 20 research groups from chemistry, biology, medicine and physics. The current project is part of this effort and aims to develop a
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and scientific work by students Your profile: Successful degree (Master's, Diploma) in the field of computer science, software systems engineering, automation engineering, digital technologies
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Institute for the History of Science, Freie Universität Berlin, Humboldt-Universität zu Berlin and Technische Universität Berlin. It is an international PhD program based in the history and philosophy
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American Studies, North American Studies, Food Chemistry, Chemistry, Computer Science, Physics
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on conferences and in publications Requirements Master’s degree in physics or chemistry, computer science or equivalent Interest in Physics and Machine Learning Good written and spoken English Ability to work both
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related to earth sciences for a master’s programme in Germany starting in 2024 (subject to programme resources). Who can apply? Applicants: have successfully completed generally a bachelor’s* degree/a
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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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are an advantage Ability to communicate and carry out work in an interdisciplinary research team (radiochemistry, biochemistry, geochemistry, physical chemistry) and willingness to participate in scientific
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for the development of scientific and personal skills. Candidates ideally combine several of the following skills and qualifications: A very good M.Sc. degree (or equivalent) in biology, physics, computer science
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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