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: Master’s degree in computer science, computer/software engineering, applied mathematics, artificial intelligence, or a related field. Strong skills in deep learning (e.g., PyTorch/TensorFlow). Experience in
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; transcript; condensed transcript; written list of classes in economics, mathematics, statistics or computer science (including course name, date taken, school, and main textbook(s) used in the course); courses
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@itwm.fraunhofer.de If you have any questions regarding the application process: Isabelle Dieckhoff - isabelle.dieckhoff@itwm.fraunhofer.de Fraunhofer Institute for Industrial Mathematics ITWM www.itwm.fraunhofer.de
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need to contact the project supervisor to discuss. Online applications are made via the 'Apply' button above. Please select Engineering Mathematics* on the Programme Choice page. You will be prompted
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
. School of Business and Management Dr Gül Berna Özcan School of Engineering, Physical and Mathematical Sciences Dr Elizabeth Quaglia School of Humanities Professor Andrew Jotischky School of Life
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related to early detection and chromosomal instability in cancer. A background in computational biology, mathematics, or computer science is preferable, though we welcome applicants with relevant biological
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datasets using programming languages such as R, SAS, Stata and Python A strong quantitative background in mathematical and simulation modelling, especially Markov-chain, common decision-analytic model
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of the assembly of these complex microbial communities using ecological theory and mathematical models. The questions we address are: (1) how does the microbial community change during cultivation
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of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms
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supervision. Complete and defend a PhD thesis within the official appointment duration of four years. Your profile An MSc degree in Artificial Intelligence, (Applied) Mathematics/Physics, Computer Science