233 parallel-processing-bioinformatics positions at Technical University of Denmark in Denmark
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qualifications We are seeking a PhD candidate who has a food science or veterinary education and enjoy laboratory work and would like to develop in bioinformatics. If you already have a background in
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) and geochemical speciation calculations (such as with PHREEQC or a similar code). We are running several projects in parallel, ranging from fundamental investigations of mineral-water-gas properties
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small-scale processing sector. By joining this project, you will contribute to the development of AI-powered tools that predict non-compliance, improve food safety monitoring, and ultimately protect
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techniques. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree in a relevant field, such as bioinformatics
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part of a team, be happy to share thoughts and receive feedback from other team members, and be able to carry out parallel tasks In addition, it is preferable that you: Have experience with processing
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. The microbiome is an essential contributor to animal health and welfare through participating in the vital physiological processes and guiding host development. The positive connection between diverse microbiome
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, such as bioinformatics, biochemistry, molecular biology, biotechnology, or a related discipline. You must have: Expertise in either computational protein design or wet lab techniques for protein
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Prevention through Design and Planning (PtD/P), risk assessment, and safety compliance checking processes, and new performance requirements and measurement (metrics) for both lean and safe workflow planning
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holidays are not considered. Selection process The selection and recruitment process will be in accordance with the European Charter and Code of Conduct for the Recruitment of Researchers. The recruitment
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omics datasets, including genomics, transcriptomics, proteomics, and metabolomics. Process and visualize high-throughput data, including NGS outputs. Contribute to developing computational tools, methods