16 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"GUSTAVE-ROUSSY" PhD positions at Aarhus University
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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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, distinguishing local and regional trends. The necessary samples and data have been collected in recent years during expeditions to the area, and include numerous sediment cores, acoustic surveys of the
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contribute substantially to publications and the position will involve a variety of tasks, e.g., philosophical analysis, research design development, data collection, analysis, and if relevant dissemination
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with instructors and students to analysing multimodal learning data (e.g., individual as well as collaborative verbal interactions, student gestures, task and activity sequences) and evaluating long
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, developing causal identification strategies in observational data, and conducting human experiments with AI chatbots as adaptive dialogue interventions. The postdoc will lead the empirical work on work
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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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biological underpinnings of comorbid ED and PD. Using data from Denmark and Estonia, this project will examine the epidemiology and genetics of ED and disordered personality and identify meaningful
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embodied experiences such as craving, loss of control, withdrawal, and recovery processes. Contributing to recruitment of participants in alcohol treatment. Participating in data analysis (coding and
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, Bioinformatics, or a closely related discipline. Relevant experience in Molecular Microbiology, Microbial Genomics/Metagenomics, Culture-based Microbiology, Bioinformatics or Quantitative Data Analysis is an