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for autonomous systems. Our focus lies on safety-critical applications in the fields of automation, mobility and health. We develop reliable software technologies with a benefit for humans. For example, we conduct
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Your Job: The focus of this Master Thesis is the development of an optimization to minimize energy consumption in an existing model of non-road mobile machinery (NRMM). Optimization opportunities
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headquarters in Halle (Saale) and is looking for a student to work on a scientific topic as soon as possible. In the business unit “Biological and Macromolecular Materials”, the development of effective care and
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algorithms for very high speed coherent passive optical networks (VHSP) Implementation of DSP algorithms in MATLAB/C++, that can be used for ASIC development Development of our DSP software tools Research work
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researched and developed that will be used in current and future key topics. Become a part of our team and join us on our journey of research and innovation! What you will do Test new deep learning
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algorithms and Quantum Imaginary Time Evolution. What you bring to the table Experience with Python programming Experience in programming quantum algorithms with Qiskit, Pennylane, or similar Prior knowledge
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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Objective Advanced students of...
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Fraunhofer SIT is one of the leading research and development institutes for secure information technology in Germany and Europe. The focus is on applied research and the development of innovative
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for autonomous systems. Our focus lies on safety-critical applications in the fields of automation, mobility and health. We develop reliable software technologies with a benefit for humans. For example, we conduct
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on these considerations, solutions will be developed and implemented to create an advanced testing platform for the comprehensive evaluation of the long-term stability of invasive brain-computer interfaces. Your task will