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, etc.). Experience in electrical characterization techniques (I-V, C-V, reliability testing) and data analysis. Knowledge of integration challenges in CMOS processing Strong analytical and problem
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teamwork and verbal, written communication skills Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents. In-depth knowledge relevant to the project
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. · Minimum 3 years’ postdoctoral research experience, as well as a demonstrated capability to achieve research excellence and develop research programmes and funding proposals, through in-depth knowledge
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; Have extensive knowledge and hands-on experience on genetic parts assembly, pathway engineering, microbial strain engineering, fermentation, recovery and analytics of targeted metabolites; Have the
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. Possess sufficient specialist knowledge, research skills and interests in statistical machine learning, and deep learning or large language models to work within established research programmes and
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outcomes. Contribute to knowledge exchange activities with external partners and collaborators. Qualifications / Requirements* Minimum PhD or close to completing PhD in Communications (or in any other
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support to the Principal Investigator and his team. Qualifications Candidates should possess strong background and working knowledge of molecular biology, cell biology and biochemical techniques such as
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experience with expertise in health industry strategies and operations across various regions. • In-depth knowledge of digital health and tech, including clinical, technical aspects, social determinants, and
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and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is required. A thorough knowledge of the research field of asset pricing, portfolio
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- Be updated on the latest literature and work on Reproductive ageing and how research can fill the gaps in knowledge to provide novel and innovative solutions Qualifications The applicant should: àHold