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direction (possibly forming spontaneous “lanes”), crossing, and opposite flows. For single-lane vehicular traffic, the model should revert to a car-following model. In cooperation with the supervisor Dr
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of potentially novel modes of protein binding is possible in collaboration with other members of the lab. Desired (but not absolutely required) skills: programming in python, machine learning, and experience in
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of algorithms, discrete mathematics, probability, or optimization excellent written and spoken English skills knowledge of German, or willingness to learn, is desirable since the position involves undergraduate
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performing data analysis of B cell receptor repertoire data using programming languages (mostly R) Successful candidates can think independently, are eager to acquire necessary new skills, and are excellent
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wide range of theoretical perspectives, methodological approaches, and links to educational practice. The interdisciplinary course program focuses on the processes and outcomes of teaching and learning
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-34Zipcode60322CityFrankfurt am Main Contact details Tel:+49 69 154008953 E-Mail: doctoral at fs.de Web: https://www.frankfurt-school.de/en/home/study/doctoral?lang=de Legal notice: The information on this website is
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the application of molecular biological methods experience in the statistical analysis of research results or willingness to acquire such experience very good knowledge of MS Office, including Word, Excel and
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Germany Immunohistochemistry and/or RNA in-situ hybridization and light microscopy High degree of motivation, willingness to learn and team spirit Strong sense of responsibility, organisational skills, high
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, medical image reconstruction principles and experience with high-performance computer simulations in physics would be beneficial Experience in working with medical imaging data, especially with PET, and
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through the online application tool of the PhD EPH program; Applications by mail/e-mail will not be accepted; Incomplete applications will not be considered; Applications which are not submitted will not be