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. Perform and analyse material characterisation (SEM, TEM, AFM, Raman, XPS, UV-Vis) and thermal / electrical property measurements. Design experiments, optimise process parameters, benchmark enhanced
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• Ph.D. in Materials Science, Physics, Electrical Engineering, Chemistry, or a related field. • Strong background in 2D materials growth (CVD). • Strong publication record in peer-reviewed
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, materials growth, crystallization, catalysis, and electrochemistry. Qualifications Ph.D. in Physics, Materials Science, Chemistry, or related disciplines, with a proven ability for outstanding research
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1. Possess a Ph. D Degree in Electrical Engineering with strong knowledge in semiconductor device technology and process. 2. Strong knowledge in semiconductor device physics. 3. At least 4
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We are delighted to welcome applications for the position of Research Fellow within a new ERC-funded research group on Political Process Preferences in Europe (PoPPiE): Rethinking Conceptual
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. Interface with machine learning group on database set up CO2 removal process Job Requirements: PhD in Chemistry/Materials Science/Physics Candidates with strong background in Materials chemistry/Physical
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, open workflows for the broader materials and AI research communities. For the postdoctoral fellowship, we seek candidates with a PhD in theoretical or computational condensed-matter physics, applied math
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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science with quantum engineering, taking place across the departments of Physics, Chemistry and Chemical Biology, Mathematics, and the School of Engineering and Applied Sciences. Active research areas
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2024 Falling Walls Winner in Physical Sciences for “Breaking the Wall of Quantum X-ray Tech” by the Falling Walls Foundation. [Group website: https://sites.google.com/view/ljwgroup ]. We leverage