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requirements: MSc degree or comparable degree in electrical or mechanical engineering, physics or a related subject. The project involves hands-on cleanroom work, device fabrication, and high-frequency
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support, lectures by international experts, and annual PhD symposia. Make sure to see the DTU website to find out more: https://micro-path.uni.lu The Luxembourg Institute of Science and Technology (LIST) is
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international consortia. Qualifications Your qualifications include: PhD degree in Chemical/Biochemical Engineering, Biotechnology, or related disciplines. Strong research profile in microalgae-bacteria consortia
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international doctoral training programme coordinated by Lund Stem Cell Center atLund University and delivered in partnership with Leiden University Medical Center, Hannover Medical School, and the Technical
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design Desirable Qualifications Experience with or interest in gas-phase fragmentation mechanisms and ion chemistry Interest in computational proteomics, spectral library development, or fragmentation
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
, Plasma processing for materials. Experience and skills PhD in Materials Science, Applied Physics, Plasma processing for materials. 3 to 5 years proven experience in an international R&D environment (public
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publications and present them at well-known international conferences and workshops. Your profile M.Sc./M.Eng. Degree in telecommunication engineering, signal processing, machine learning or a closely related
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, Mechanical Engineering, Structural Engineering, or a closely related field. Candidates from Materials Science, Civil Engineering, Physics, Applied Mathematics, or Computational Engineering are welcome
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Qualification: The candidate should possess an MSc degree or equivalent in Telecommunications and Computer Science. Experience: The ideal candidate should have some knowledge and/or experience in several
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should hold a Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, Data Science, or a closely related field Solid background in machine learning and natural