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on the Law of the Sea (UNCLOS) are encouraged to apply. The CIL Oceans Law and Policy Team is particularly interested in candidates with knowledge and interest in the international legal framework governing
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, particularly in the preparation and imaging of biological specimens Familiarity with biological ultrastructure and experience interpreting EM data in a biomedical context Strong technical knowledge of EM
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authenticity, accountability, and integrity of digital content. Strong knowledge of machine learning and deep learning techniques, including machine unlearning, and AI testing. Ability to communicate complex
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, biomedical or computational imaging). A detailed knowledge of molecular imaging, or material science is mandatory. Experience in designing and performing scientific work independently and collaboratively is a
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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