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100%, Zurich, fixed-term The ODI group at the Institute of Machine Learning is looking for highly motivated postdoctoral researchers with expertise in reinforcement learning (RL) to join our team
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Your profile Candidates should have an exceptional academic record and a robust mathematical foundation. They should have published works at the main conferences in the field of machine learning
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. You will perform microstructural characterization of dry coated electrodes using physical and machine learning based methods and the electrochemical assessment of the electrodes in battery cells. Your
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, particularly on measurements and searches using jet substructure and development of advanced techniques in particle tagging, including applications using machine learning, and are expected to take leading roles
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providing technical support and troubleshooting in T cell culture, molecular cloning, and viral production workflows. Profile PhD in bioengineering or related area. Strong practical background in primary T
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Location: Sofia, Sofia 1784, Switzerland [map ] Subject Areas: Computer Science / All areas Quantum Computing / Quantum Computing Artificial Intelligence Machine Learning / Machine Learning Natural
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Apply machine learning techniques for data analysis and time-series forecasting Collaborate in a multidisciplinary team to accelerate functional thin film development Your work will be part of a larger
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PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials
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to departmental activities, as well as the standard teaching, grading and mentoring duties. Profile Candidates should have (or be near completion of) a PhD in mathematics with an excellent research track record
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responsibility in a highly interactive international environment with other Postdocs and PhD students. Moreover, the candidate will also be involved in project management and grant acquisition. The position is