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Field
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internal "engine room" and practical operational setup. This role is internally focused on preparing the foundations of our operations, working on clean room definitions, and bridging the gap between
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-of-the-art technology core facilities spanning transgenic animal resources, proteomics, imaging, biophysics, chemical biology, bioengineering, bioinformatics, AI-enabled research capabilities, and other
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: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science, Gaming Engineering or a related discipline. · Knowledge: Strong coding skills in Python and knowledge in materials
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CIC bioGUNE (Asociación Centro de Investigación Cooperativa en Biociencias) | Bilbao, Pais Vasco | Spain | 3 months ago
to engineer highly specialized neuronal subtypes for cell transplantation therapies in animal models of Alzheimer's disease, stroke, and epilepsy. To achieve this goal, the candidate will combine a gene network
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range of disciplines including mathematics, the sciences (physics, chemistry, biology, material science, engineering), and computer science, with an emphasis on the theoretical foundation of machine
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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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Condition User Facility,Advanced Attosecond Laser Infrastructure, etc.) Applied physics (including: advanced functional materials, applied magnetism, optoelectronic and photonic devices, sensing technology
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Engineering, Data Science. Knowledge: Deep expertise in electron microscopy, particularly STEM and EELS methods. Proven experience in designing and conducting in-situ TEM experiments. Familiarity with energy
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new understanding, capabilities and innovation, while inspiring and providing broad training to the next...
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in Engineering, Physics, or a related technical field. Additional business or management education (e.g., PMD) is highly valued. Industry Experience: 10 - 15 years of experience in the semiconductor