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studying computer science, embedded systems or a comparable study programme You are interested in embedded AI applications and have some experience in programming microcontrollers and sensor technology You
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of the datafication and algorithmization of society, culture, and human knowledge in the age of AI. You will play an active role in developing an innovative departmental profile. At the same time, we offer you a
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the planned path. Current approaches lead to blockages or a queue of recovery behaviours. The goal is to derive a more robust solution. Therefore, you will also examinate the usage of additional sensor input
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applications, from coating and repair to additive manufacturing. Consequently, the topics for theses and project work are equally diverse. Currently, we have openings in programming, process optimization, sensor
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. When will
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relevant algorithms Perform tests on available simulation models Evaluate and document the results What you bring to the table You are close to completing a master's in electrical engineering, computer
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holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms (AI) to analyze large imaging and molecular
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focus on a current research area in algebra and meaningfully complement the existing research, for example, in the fields of representation theory, algorithmic algebra, tropical geometry, or algebraic
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inorganic sensors, optical filters and flexible OLED lighting. Our fields of work are subdivided into 7 business units based on the different materials and geometries being processed and due to special
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At the Fraunhofer Institute of Optronics, System Technology and Image Exploitation IOSB we perform fundamental and applied research in the fields of laser technology, photonics, imaging sensor