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analysis (TEA) or an affinity towards these research questions. - Basic knowledge in bioprocess design, bioengineering and/or mathematic modeling - Affinity towards research question in life cycle
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Management (SLUSE) IPB: Natural Resources and Environmental Sciences (NRES) UPM: Environmental Biotechnology/Environmental Engineering/Environmental System and Modeling UGM: Planning and Management of Coastal
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of the research group on the modeling of optoelectronic devices and on the analytical and numerical investigation of such models, using in particular methods from the field of nonlinear dynamics. This includes also
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messengers transported by the flow or even the pressure of the fluid itself. In an interdisciplinary team, you will either develop theoretical models of the feedback between flow and network architecture
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the 01.10.2022. Your Responsibilities: You will work at the cutting edge of privacy-preserving deep learning research with a focus on one or more of the following topics: - Optimal model design for differentially
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to familiarize yourself with methods of empirical or model-theoretical research, as well as motivation, commitment, and fun in re-search. Ambitions to pursue an academic career are welcome and will be supported
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the Research Group “ Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting as soon as possible. We are looking for: The applicant should perform active research in one
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deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. We are seeking a researcher to join our team in an ERC project on DNA data storage
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systems with solid coding skills Mathematical background for modeling and analytics Openness for collaboration within our research group, inside the project, and beyond Curiosity and creativity