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under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and complex piece of research
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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biobased processes to promote a green transition and support the UN Sustainable Development goals. Responsibilities and qualifications You will work with a team of scientists including PhD and MSc students
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to: designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces
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Knowledge, Skills, and Abilities PhD in Neuroscience is required. Experience with in vivo imaging in head-fixed behaving mice is required. Experience with Arduino microcontrollers for the design and control
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on understanding the spread and control of human infectious diseases using modelling and pathogen genomics. This is a short-term opportunity to apply machine learning methods to two key projects. First, you will
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their PhD in engineering, physics or material science. You are motivated and curious about AI/ML frameworks for monitoring and controlling materials processes. You are ready to discover the new horizons in
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring
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TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring technologies that enable robotic
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maintenance. Of particular importance, the findings will open potential avenues to manipulate and rescue chemosensation through control of the microbial environment or provision of metabolites. The postdoc will