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Field
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Develop solutions to integrate large foundation models
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robotics Goal-driven agentic AI Autonomous medical imaging Design of AI-enhanced medical devices Machine learning models and algorithms for medical signal processing Embedded AI Privacy-aware AI Foundations
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technicians Image analysis using AI-segmentation algorithms Histological correlation of PET results and immunohistochemistry for tissues transduced by the vector Experimental design, realization, and analysis
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Conduct comparative benchmarking and performance analysis against state-of-the-art studies Perform numerical modeling and validation of brain-inspired and neuromorphic algorithms Design, set up, and operate
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of research and innovation! Be part of change Design and development of IP cores for low-latency, high-throughput digital signal processing Simulation and verification of the implemented algorithms with test
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the wild? You are excited about deploying autonomy algorithms on real platforms and validating them in demanding real-world environments? We are looking for an outstanding and highly motivated doctoral
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processing Simulation and verification of the implemented algorithms with test vectors Integration of IP cores into an OFDM-based Physical Layer Debugging of implemented designs in a LiFi testbed Collaboration
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molecular biology techniques as well as in algorithms, statistics and artificial intelligence for molecular genetics. Importantly, mastery of the experimental and theoretical aspects shall equip doctoral
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machine learning, deep learning, or AI. Solid mathematical, algorithmic, or physics background, distinct analytical skills. Very good programming (Python, C++) and computer (Linux, Windows) skills
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Your Job: Join our team as a dedicated scientist and contribute to our exciting research projects. Our work focuses on models and algorithms for supervised and unsupervised learning. We devise deep