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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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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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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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, 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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, Bioinformatics, or a closely related discipline. Relevant experience in Molecular Microbiology, Microbial Genomics/Metagenomics, Culture-based Microbiology, Bioinformatics or Quantitative Data Analysis is an
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energy barriers. Relate simulations to experimentally derived disorder models and data from methods such as total scattering/pair distribution function analysis, diffuse scattering, diffraction
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should be able to work independently and responsibly, to critically analyze data, prepare and communicate results, prepare manuscripts and publish research findings in high quality journals. You are
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isolation and immune profiling through Spectral/Flow Cytometry and/or RNAseq. You will be responsible for all data analysis. You will report to the Head of Department of Biomedicine. Your