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technology, big data analysis, and AI algorithm applications; show innovative thinking for solving complex system control challenges; be capable of interdisciplinary collaboration in microbiology and related
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will be to develop novel or improve existing AI algorithms and conduct investigations aimed at improving our understanding of the evolution and function of microbiomes. You will be responsible
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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Faculty Position — Research Scientist in Cardiology, Cardiac Regeneration and Translational Cardiova
Initiative: Developing platform products that enable prediction and prevention of diseases through biological signatures, real-time sensing technologies, and algorithmic approaches. Bold. Forward
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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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, neurodevelopmental outcomes, inflammation, and energy metabolism. Job Responsibilities: Independently perform basic and advanced level statistical analysis, algorithm implementation, programming from a variety of
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above Strong mathematical and algorithmic background A pro-active approach to achieving research excellence Commitment, team working and a critical mind Fluent written and verbal communication skills in
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applications. The project is highly multi-disciplinary, integrating algorithm development, engineering, physics, and biology components. Candidate do NOT need to have expertise in biology to apply. BIRTLab
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collaboration by proposing an original hybrid rule-driven/data driven approach to artificial intelligence and by studying efficient optimization algorithms. The team focus on robotic applications like environment
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scientific programming and algorithms is desirable Experience working in a research environment a plus General languages (preferred): C++, Python, MATLAB CUDA (strongly preferred) Machine learning knowledge