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this project, the candidate will analyze longitudinal fecal shotgun data from 500 children followed from birth to three years of age to investigate how environmental, clinical and lifestyle exposures shape
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spanning diverse demographic groups (age, body composition, muscle strength). Conduct simulation studies in collaboration with transport safety and biomechanics researchers within and beyond Chalmers
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for the organisation and their own work duties and contribute to a positive work environment. We value the qualities that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute
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biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in
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environment. We value strong interpersonal skills and the ability to communicate and collaborate with others both within academia and industry. We value the qualities that an even distribution of age and gender