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. The postdoc will work in a collaborative CMU environment spanning computational chemistry, AI, automated experimentation, polymer chemistry, and catalysis. Research directions may include: Developing automated
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equivalent by the employer. knowledge of and experience in actuation and/or soft robotics. basic knowledge of electronics. a strong ability to collaborate with internal and external stakeholders, demonstrate
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correlated electron systems Proficiency with scripting or programmatic languages, such as Python, c, and matlab Excellent written and oral communication skills. Motivated self-starter with the ability to work
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communication skills in English Experience in microfluidics for nanoparticle characterisation Strong analytical skills, experience with interdisciplinary research, and the ability to work independently and
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relevant subject area: Machine Learning, NLP, Computer Vision or related fields. Strong publication record in AI/ML/CV or related areas. Ability to work independently and collaborate across disciplines
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uses super-resolution microscopy and electron-microscopy to investigate rapid synaptic organelle dynamics during neurotransmission. The Fellow will design and conduct experiments aimed at identifying
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16 Jul 2026 Job Information Organisation/Company Université Bourgogne Franche-Comté Research Field Physics » Computational physics Researcher Profile First Stage Researcher (R1) Positions Postdoc
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on the synthesis and processing of MXenes. The postdoc will work closely with the Director, staff, students, and partner companies and national labs, and provide leadership within a large research project. Essential
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Learning (ML), Deep Learning (DL) particularly in Natural Language Processing (NLP) and Computer Vision (CV) - strong record of publications - Excellent communication skills and ability to work in a fast
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staff position within a Research Infrastructure? No Offer Description We are looking for a postdoc to join our team at the Division of Vehicle Engineering and Autonomous Systems, Department of Mechanical