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Master’s degree (or equivalent) in mathematics, computer science, physics, or related field. Sound knowledge in (scientific) machine learning, and knowledge in numerical analysis and numerical linear algebra
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computational physics and probability theory and great interest in interdisciplinary research and collaboration with experimental groups. You hold (or expect to complete soon) a Masters or equivalent degree in
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Master’s degree in Physics, Chemistry or Computer Science, or equivalent Interest in Physics, Chemistry and Machine Learning Good written and spoken English Ability to work both independently and in a team
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to contribute to exciting research projects right at the intersection of Physics and Biology, while starting your academic or professional career. You will be embedded within the highly interactive and
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)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. You hold (or expect to complete soon) a Masters or
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. Engage in data analysis and collaborate with computational scientists. Your qualifications: MSc or equivalent degree in Molecular Biology, Genetics, Biochemistry, Epigenetics, or a related discipline
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if they do not exceed 25 percent of the total funding period and do not take place at the beginning of the programme The application for a scholarship follows a three-step process: Step 1: written application
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) and the German Academic Exchange Service (DAAD) since 2007. Under this CAS-DAAD joint programme up and coming young Chinese scientists from the University of Chinese Academy of Sciences (UCAS) and CAS
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including water and aqueous solutions of biologically relevant samples. Your profile Completed university studies (Master/Diploma) in the field of Physics, Physical chemistry, Optics, Biophysics or related
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and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image