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/scripting (e.g., Python, R, or Bash) Familiarity with next-generation sequencing data and genome assembly tools Strong analytical and problem-solving skills Excellent written and spoken English communication
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years or a SU PhD scholarship (4+4) for a period of up to four years in Probabilistic Methods in NLP: Representation Learning or AI Alignment provided the necessary funding is available. Where to apply
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observational data Sample analysis in the laboratory using state-of-art molecular microbiology techniques and fish health and welfare analysis Sequencing data analysis (bioinformatics) Scientific dissemination
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an international, interdisciplinary research environment. At DTU, you will be part of the PCAS, and you will find yourself among multiple PhD students and senior researchers working on multiple aspects
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, next-generation sequencing such as long-read sequencing, and high-throughput analysis techniques. Primary tasks: Culture human T cells and cancer cells Design multiplexed CRISPR strategies Analyse
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graph using RDF, OWL, and related technologies Designing and implementing workflows for data ingestion, integration, and querying across multiple systems Driving use-case studies that demonstrate
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optimization. Experience with energy system modeling - ideally of large scale multiple country energy systems, PtX and renewable fuel production. Strong writing and presentation skills. A willingness and desire
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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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scale multiple country energy systems, PtX and renewable fuel production. Strong writing and presentation skills. A willingness and desire to engage in interdisciplinary collaboration and teaching. Good
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– set up and alignment Numerical modelling Scientific software development Geochronology You should possess strong communication and academic writing skills in English. You must have a two-year master's