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are seeking a Reliability Testing Engineer with a recently completed PhD and a strong background in thin-film reliability for implantable or bioelectronic systems, together with experience or familiarity in
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programs in Scientific Computing, Data Science and AI/ML concepts and tools addressed to the ICN2 staff. Requirements: PhD in Physics, Materials Science, or a closely related discipline, with a relevant
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electronic engineering, physics, chemistry, materials science, nanotechnology, or closely related discipline. Good publication record. Experience in thin film or/and solar cell fabrication by solution
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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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presentations in workshops or conferences to showcase your research results to the scientific community. · Skills on proposal writing Requirements: Education: PhD degree in electronic engineering, physics
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: Education: PhD in Biomedical, Neuroengineering, Electronic or Electrical Engineering, Physics, Bioinformatics or related engineering fields · Advanced Python / MATLAB programming skills. · Electrophysiology
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Experience: Science and technology of colloids Characterization techniques In vitro studies Biochemistry Experience in the chemical synthesis and modification of nanoparticles and/or nanocpasules. Experience
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+ EDX · Fully Automated FIB Helios 5UX · FEI SEM Quanta and SEM Magellan Requirements: · Education: PhD in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science. · Knowledge: Deep