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of next generation Lateral Flow Assays (LFA) for the detection of biological threats. Main Tasks and responsibilities: The senior researcher role will require the candidate to supervise 2 PhD students in
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with deep learning to design van der Waals heterostructures with optimised spin-orbit torque (SOT) efficiency for ultra-low-power memory and computing. Its two pillars are AUTOMATA, an automatic material
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of next generation Lateral Flow Assays (LFA) for the detection of biological threats. Main Tasks and responsibilities: The senior researcher role will require the candidate to supervise 2 PhD students in
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postdoctoral researchers and students. Requirements: PhD in Physics. Demonstrated Experience in the Management of Research, both at the level of Research Groups and of Research Institutions. Demonstrated
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existing experimental results and guide the design of future carbon-based electronic and optoelectronic devices. Requirements: Education: Master in materials science or engineering, PhD in materials science
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: Education: PhD on Materials Science, Chemistry, Biotechnology, or related disciplines Knowledge: High level in English Professional Experience: Demonstrable previous experience in materials science
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programme. Requirements: Education: PhD in chemistry, chemical engineering, materials science, biochemistry or equivalent. Knowledge: Extensive expert use of an array of physicochemical and materials
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; energy-efficient information technologies; surface functionalization and characterization (XPS) High level of English Ability to lead specific research lines, supervise students (including PhD students
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· FEI F20 200 KeV STEM, EELS + EDX · Fully Automated FIB Helios 5UX · FEI SEM Quanta and SEM Magellan Requirements: Education: PhD in Physics, Materials Science, Nanoscience, Computer
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students and other researchers on in-situ (S)TEM. Requirements: · Education: PhD in Chemistry, Physics or Material Science, or closely related fields, with a strong focus on nanomaterials and advanced