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coordinate individual unmanned underwater vehicles (UUVs) and entire swarms based on local information, for anomaly detection and infrastructure surveying in environments where communication is
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We are seeking a postdoctoral researcher to join an interdisciplinary team developing deep learning models for antimicrobial resistance (AMR) detection directly from MALDI-TOF mass spectrometry data
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selected isolates. Comparative genomic analyses will assess microbial connectivity between compartments while distinguishing co-detection from evidence consistent with persistence or transfer. Findings will
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spoken English. Documented experience with one or more of the following will be an advantage: Longitudinal, multilevel, Bayesian, or other advanced quantitative methods relevant to comparative research
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start date 1 February, 2027. Further details and application instructions are available at: https://math.au.dk/en/about/vacancies/phd The webpage includes brief subject descriptions and links to
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Department of Animal and Veterinary Sciences (au.dk) for further information about the department: https://anivet.au.dk/en Place of work and area of employment The place of work is the Department of
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international research environment and be motivated to contribute actively to fieldwork, research development and scientific publication. Who we are The Department of Ecoscience (https://ecos.au.dk/en/) is
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place of work is Paleoceanography and Paleoclimate Group, Department of Geoscience, Aarhus University, Høegh-Guldbergs Gade 2, DK-8000 Aarhus C, Denmark: https://geo.au.dk/paleo Contact information
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accompanying families, including relocation service and career counselling to expat partners. Please find more information here: https://internationalstaff.au.dk/relocationservice/ Please find more
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to expat partners. Please find more information here: https://internationalstaff.au.dk/relocationservice/ Please find more information about research opportunities at Aarhus University here: http