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particular in deep learning, LLM, digital hardware design, embedded systems, audio processing; Proficiency in deep learning frameworks (e.g. PyTorch) and programming skills (SystemVerilog, Verilog, Python, C
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challenges holding back an even wider usage. This PhD position is part of the national NanoMedNL consortium that aims to counter these challenges and thereby accelerate and support the development of novel
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at international conferences You will work here The research is embedded within the chair Experimental Zoology , led by Prof. Florian Muijres . You will be supervised by Dr. Antoine Cribellier . Your qualities
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As Austria's largest research and technology organisation for applied research, we have set ourselves the goal of making substantial contributions to solving the major challenges of our time
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and distinctions Freunde und Förderer History of the University Organisation and management Back University Management Senat University Council Kommissionen Equity Back Policies Service Support
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teams. Interest in neuroscience, immunology, or multi-omics data integration is a plus. Work Environment & Opportunities The position is embedded in an interdisciplinary research team with projects
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extensive secondary benefits package? You can read more about it here. You will work in this team The Quantitative Healthcare Analysis (qurAI) is an interfaculty group embedded in the Faculties of Medicine
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mitigating jamming and spoofing threats in real-time. Integration of Trusted Execution Environments (TEEs): Investigate the use of TEEs to create secure zones within embedded systems, facilitating secure data
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conferences This project is embedded in the CERATIZIT Chair for Hard and Advanced Materials, a newly established, dynamic research group focused on solving industrial challenges through groundbreaking material
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in health and wellbeing. This practice-based research project will align with the University’s civic mission and its research priority on Arts and Health and will be embedded in the development of a