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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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to): Transparency and contestability in AI Accountability in algorithmic infrastructures Technical mechanisms for evaluating and auditing AI systems Governance of open-source and general-purpose AI models Data rights
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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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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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algorithms into an existing framework, with a focus on efficiency, as well as creation and execution of relevant simulation pipelines: from real data to mathematical and clinically actionable results
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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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Joint degree / double degree programme No Description/content Networks, computers, sensors, and actuators are increasingly integrated into cyber-physical systems; software systems that interact with
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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