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Health • Clinical and Evidence-based Prevention • Health Services Research • Health Economics and • Evidence-based Public Health The prospective scholarship holders are selected in a multi-step process
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of Chemistry or Materials Science or Physics or related field Kinetic Monte Carlo simulations, quantum simulations, theoretical chemistry Excellent teamwork and communication skills in an interdisciplinary
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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling
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phases Your profile Excellent Master’s or Diploma degree in medical physics, physics, computer science, medical engineering or a closely related field with a strong interest in data science and
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profile: Successful degree (Master's, Diploma) in the field of computer science, software systems engineering, digital technologies or comparable qualification Openness to varied and exciting topics and
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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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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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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 performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate:** • An excellent academic