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doctoral projects are part of a new strategic research project funded by the Fraunhofer-Gesellschaft. This aims at addressing unmet needs in efficacy and safety associated with non-viral therapeutic cell
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Announcement for fields of study such as: Automation technology, software engineering, computer engineering or comparable. Fraunhofer IPA is an institute for Manufacturing Engineering and Automation
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software and frameworks What you bring to the table Study of mathematics, computer science, physics, electrical engineering or similar with good to very good grades Strong programming skills in Python and
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to the table Enrolled Bachelor/Master student (m/f) with good grades in one of the following programs: Electric engineering, physics, cognitive science, applied mathematics, neuroscience or a related field. You
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studying mechanical engineering, computer science, CES… or a comparable subject First experience with PyTorch and Deep Learning is favorable A high degree of initiative, independence, and problem solving
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bring to the table You are a student of electrical engineering, communications engineering or a related subject Basic knowledge of digital signal processing (digital filters, control loops, estimation
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and subsystems for FPGAs and ASICs are also part of your area of responsibility. What you bring to the table You have successfully completed a university degree in electrical engineering, computer science
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Learning experiments Experience applied science in exciting projects Prepare material for publications Review relevant literature and data What you bring to the table Study of mathematics, computer science
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: Electrical Engineering, Computer Science, Physics, Agricultural Sciences Interest in writing their master's thesis about this project Good knowledge of Python, REST, RabbitMQ Experience in developing
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computational capabilities of components, sub-systems, or the VPP as a whole, is limited, making integration of deception technology challenging. However, the strategic asymmetric advantage that deception