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Researcher to join our team in the interdisciplinary research project: Knowledge making in the era of Artificial Intelligence: the social regulation of writing for publication processes and products Become
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data using multivariate statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft
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, friendly, and international—featuring joint journal clubs, seminars, and interactions with partners in academia and industry. We welcome you to join our team and help shape this emerging field
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strive to collaborate with other research groups in chemical engineering, catalysis and reaction technology in Sweden and other countries. You will also interact with researchers and other research
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multidisciplinary care models. Umeå University offers a collaborative and supportive research environment with access to rich register data, strong methodological competence, and close interaction between clinical
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The applicant must: hold a PhD in a relevant field (e.g. computer science, artificial intelligence, machine learning, computer vision, animal science, biology, veterinary medicine, or a related discipline) have
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for studying spatiotemporal protein interactions. The postdoctoral fellow will have the opportunity to: - Learn novel research techniques for genome-wide screens - Explore molecular mechanisms of mitochondrial
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of physiological data, experience in working with natural products and knowledge of neuro-immune interactions. The applicant is expected to be fluent in both written and spoken English. Great emphasis will be given