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. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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providers across the country to perform advanced genome and transcriptome analyses based on large-scale DNA sequencing, while also continuously developing methods and pipelines. Our goal is to ensure world
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strong computational focus on innovative development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Work duties The
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developing data processing pipelines, such as Nextflow or similar systems. Computer clusters and distributed systems. Virtual environments, e.g., Docker or Apptainer. Methods for software deployment (e.g
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. With cutting-edge research, top-tier education, and extensive collaborations, we are a key force in the field. Our core competencies include in vitro ADME models, advanced in vivo methods, computational
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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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Do you want to contribute to top quality medical research? Karolinska Institutet (KI) is recruiting researchers as part of the SciLifeLab Fellows program. The successful candidates will join KI and
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, computer science or a related subject the employer considers of relevance to the position. Experience (3+ years) in working with advanced bioinformatics analyses of omics data from high throughput
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binding with simulations and quantitative modeling to gain a physical understanding of life at the molecular level. We are recruiting Postdocs that wants to use and develop state of the art methods