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complexes and their application in anticancer drug development or transition-metal catalysis under the supervision of Professor Chi-Ming Che. Applicants with an outstanding academic record and relevant
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thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
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molecular profiling approaches. Ability to analyze and interpret complex experimental datasets and integrate findings across complementary experimental approaches. Strong critical-thinking and problem-solving
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communicate complex technical concepts clearly and contribute to the development and review of technical training materials Ability to work effectively in collaborative, interdisciplinary and international
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of complex carbohydrates in various microbial systems (human, plant-derived and soil microbes) and the development of advanced tools for their profiling. This work has the potential to foster innovations in
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, electron beam lithography, diverse plasma etching tools, wafer-level bonding equipment and others. The position builds on the pioneering work in the foundry production of complex photonic integrated circuits
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the structures of complex extended inorganic mateirals on a materials discovery project. The successful candidate will join the ERC Advanced Grant project MaterED (Materials Discovery: from Exploration towards
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, identify localized translation events, and characterize ribonucleoprotein complexes that drive ciliogenesis. Collaborations and interactions with all the involved Research Groups are highly encouraged
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Experience with computational or simulation modeling methods Experience with complex survey data analytic methods Familiarity with tobacco control and/or cannabis control and/or alcohol control. Strong
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of electrochemistry, corrosion, and materials science. Its research activities focus on the study of fundamental electrochemical mechanisms, the degradation of materials in complex environments, as