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the opportunities and challenges 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
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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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, the ability and willingness to participate in ocean-going expeditions are expected. Familiarity with sensor-based methods (FRRF) would be desirable. Further qualifications, such as experience in determining
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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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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
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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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of multi-omics data sets generated with innovative high-throughput technologies used in Research Sections I and II (e.g. sensory, metabolome, proteome, and transcriptome data) by using efficient algorithms
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software frameworks Development of new signal processing algorithms (PHY/MAC) in conjunction with software-defined radio hardware Development and validation of AI/ML methods for mobile communications systems
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simulation to your finger on the pulse. Become a key player in various sub-teams and support us with exciting challenges, such as testing hybrid OML algorithms. Work hand in hand with our experts to drive
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, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a sustainable