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We are seeking a full-time Postdoctoral Research Assistant in Machine Learning to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is fixed-term for 1 year
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materials from complex feedstocks to achieve the desired product quality and form. As a part of this team, you will : Apply electrochemical engineering principles to develop processes such as oxide reduction
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objectives, prepare technical reports, and achieve sponsor-defined milestones outlined in the statement of work. Required Minimum Qualifications: Ph.D. in Chemistry, Materials Science, Chemical Engineering, or
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will join the LCA and Technology Assessment Department within the Energy Systems and Infrastructure Analysis Division and contribute to research evaluating the energy, environmental, material, and
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Do you have passion for FAIR and open data, and a drive to improve the data landscape? Do you enjoy solving both technical and societal challenges? The Intelligent Data Engineering lab (INDElab) is
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Postdoctoral Research Associate ( Job Number: 26001188) Department of Engineering Grade 7: - £38,784 - £41,064 per annum Fixed Term - Full Time Contract Duration: until 31st December 2027 Contracted
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Institute for Environmental Studies (IVM) Established in 1971, IVM is a leading environmental research institute that is internationally recognised for its high-quality research output in a range of environmental disciplines, as well as for its interdisciplinary work. The mission of the...
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). The project is a collaboration lead by the SSPC with 5 multinational biopharmaceutical companies. Faculty of Science & Engineering Department of Chemical Science Contract Type: Specific Purpose Salary Scale
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, Mathematics, Bioengineering or a related discipline PhD in Physics, Applied Science, or a related discipline Experience in statistical physics, stochastic processes and/or data analysis methods Strong interest
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The Munich School of Politics and Public Policy (HfP) combines excellence in political science with a commitment to dialogue between politics, society, business, and technology. As an institution affiliated