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. Engage in interdisciplinary training to build expertise in both computational and experimental techniques. Play an active role in education and outreach in protein design and proteomics, including
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parts of our genomes that are uniquely human? Laurits Skov’s research group seeks to answer these questions through an interdisciplinary approach using computational method development, population
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work with fish and/or aquaculture systems Accuracy and patience for laboratory and experimental work Interest towards statistics and bioinformatics Strong written and oral communication skills in English
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working with live animals. Excellent skills for data handling and statistical analysis. Strong written and oral communication skills in English. Ability to work both independently and as a part of a team
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smarter food regulation and enhance microbial food safety within Denmark’s small-scale food processing sector. You will work closely with researchers from DTU Food, DTU Compute, and DTU Management
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School of Technical Sciences, Aarhus University, Denmark, within the Quantitative Genetics and Genomics programme. The position is available from 01 January 2026 or later. You can submit your application
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used will be Density Functional Theory, statistics, machine-learning and dynamics. Collaboration with members of other research groups at UCPH and abroad is required. Who are we looking for? We
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) models for empirical statistical analysis, as well as potential experimental designs to validate findings. Empirical setting The research will utilize data from the Danish Innovation Fund, integrated with
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with a wide range of data formats and engaging with data experts and database managers. The second major focus is advanced data analysis and statistical modeling to identify patterns in fish distribution
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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in