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Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better
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Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better
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, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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-normal science, relational approaches and participatory governance Experience working with non-academic stakeholders and facilitating collaborative processes Proficient in English (C1). Good knowledge
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with clinical datasets and EHR systems Prior knowledge of AI/ML-based tools and technologies for data harmonization and analysis is considered an advantage Personal Skills: Open-minded, critical thinker
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transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies. You will join the
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-depth knowledge of QKD protocols: e.g. different encodings for BB84, entanglement-based QKD and of free-space optical (FSO) communication Programming and instrument-control skills: e.g. Python, MATLAB