22 cognitive-radio Postdoctoral positions at Technical University of Munich in Germany
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; knowledge in numerical methods and simulation, particularly for partial differential equations, and basic knowledge in mathematical modeling with/and PDEs, with a focus on fluid or biomechanics, porous media
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-average results. • Good programming skills and experience in C++ and Python. • Knowledge (acquired during a Master's program / Dissertation) in numerical methods and simulation, particularly for partial
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this knowledge, develop them as minimally invasive neural devices. Specifically, we aim to develop a toolbox of nanomaterials to study and learn from, looking at e.g. how nanoelectrode size and shape affects
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related field at the time of appointment Required knowledge Excellent knowledge of spaceflight mechanics, control, orbital robotics, and space systems engineering Excellent mathematical, analytical and
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smart grid). While there has been tremendous progress in formal verification of cyber-physical systems, existing approaches still require expert knowledge. The main goal of this project is to develop
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products and processes in real-time. Why join us Creative freedom – opportunities for knowledge growth – industry connections – dynamic team Your tasks • Scientific research and project management
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, Python, Julia, or MATLAB Knowledge in numerical methods and simulation, particularly for partial differential equations and finite element methods Basic understanding of mathematical modeling with and/or
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. Requirements: A completed degree (Master's) in Applied Mathematics, CSE, or comparable programs with above-average results. Good programming skills and experience in C++ and Python. Knowledge (acquired during a
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knowledge of computer and system architecture, as well as performance engineering. • Pleasure in taking responsibility, independent and structured way of working, high commitment, communi-cation and team
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field such as computer science, bioinformatics, mathematics, computational life sciences, or related. Profound knowledge in machine learning, preferably deep learning for image data. Experience in