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Field
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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building autonomous (self-driving) laboratories or integrating instruments with Bayesian optimization or other decision-making algorithms Experience with ROS/ROS2 and with robot arms (UR, FANUC, or similar
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, evolutionary biology, quantitative biology, or related fields Excellent communication and interpersonal skills in written and spoken English A clear motivation for research in global change biology and an
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
the theoretical foundations of data science and AI. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and
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machine learning algorithms to support the traceability of the beef’s geographical origin. She/he will participate in all stages of the project, including planning and supervision of sample collection and
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was created to advance research in the mathematical, algorithmic, and statistical foundations of data science and their application to other disciplines. In addition to providing support to core foundational
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). Design and fabrication of the calibration test phantoms Developing and testing acquisition software, and implementing image analysis algorithms and localization methods. Where to apply E-mail
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demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming
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germanium, and executed quantum algorithms on a four-qubit quantum processor. As a Postdoc researcher, you will explore opportunities with semiconductor quantum technology and aim to push the boundaries in
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. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems. Project description