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with attention to quality, integrity, creativity and cooperation. You have a good knowledge of English, both oral and written. You are able to work both independently and within a large international
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. The absence of any required attachment may result in exclusion from the procedure. Applications via e-mail will not be considered, and applicants should not send e-mails solely to confirm that an online
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, biomedical data science, digital health, epidemiology, and environmental health. The position focuses on the development, validation, and interpretation of AI models for health risk prediction using
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assist the laboratory in implementing the SOP so that the genomic data generated are of high quality and suitable for drug-resistance and transmission analyses. Once the workflows are established, you will
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responsibility over quality assurance of collected data, analysis and selective public accessibility of data sets Organise stakeholder workshops and participatory co-design processes Develop partnerships with
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particular focus of the Luxembourg position will be the co-design of a process for participatory actionable knowledge co-production including data collection, analysis and meaning-making in groups with a range
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devices, complex machinery parts, and cleaning agents used in the health care sector. Existing data will be enriched with innovative measurements on leachables/extractables using advanced mass spectrometry
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or a letter/information indicating the expected defense date Degree certificates and transcripts of university-level courses, including grades Copy of a publication The name, current position and
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neurobiology and working with iPSCs. Ability to work both independently and collaboratively in a multidisciplinary setting. Excellent organisational skills. Strong attention to detail, data
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proposals in the field of theoretical computer science, in general, and quantum information and computation, in particular, and contribute to attracting external funding. You will assist in the supervision