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for lifelong multi-robot operation, using state-of-the-art parametrisations of stabilising controllers, data-driven control and multi-agent reinforcement learning. The postholder will also provide guidance
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and controlled polymerization techniques, including living cationic polymerization, controlled radical polymerizations. Post-polymerization reactions. Fabrication of different polymeric materials
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experimentation and animal experimentation diploma Experience in epigenetic analysis such as ATAC, cut&tag Excellent command of English (written and spoken) Proficency in prism, flowjoe, diva VALUABLE Motivation
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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above in Psychology, or a related discipline. They should have a good command of written and spoken English and Chinese (Cantonese); strong communication skills; basic knowledge in using statistical
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Lithosphere-scale processes control
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researcher to develop next-generation methodologies for control design and dynamic stability assessment of converter-dominated AC, DC and hybrid AC/DC systems. Research topics include converter control design
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, or Matlab for instrument control/data processing is required, but you do not need to be an expert at the start. You can document experiments carefully, work safely with chemical samples and solvents, and
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Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: Candidates must have a PhD in nuclear
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
work at the interface of academia and industry processing, analyzing and interpreting single-cell RIBOseq and RNA-seq data to build a comprehensive knowledge base for ovarian cancer target discovery