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effort involving multiple universities and e-infrastructure providers across Scandinavia. This is a fixed-term position for three years with the possibility of extension based on funding. CodeRefinery is a
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university-wide administrative teams, serving as a critical link across multiple stakeholders and ensuring seamless operations at every level. Your success will rely on your ability to manage details while
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university-wide administrative teams, serving as a critical link across multiple stakeholders and ensuring seamless operations at every level. Your success will rely on your ability to manage details while
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projects at national and EU levels, ensuring efficient execution and alignment with broader project goals. We are looking for a candidate who is able to work independently and deliver within agreed deadlines
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environment. Our research facilities include modern laboratories and access to state-of the-art core facilities for single cell analysis platforms, including sequencing and spatial tissue profiling. Terms
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-omics research, as well as in the development of advanced bioinformatic tools. It furthermore serves as a diagnostic NGS core and houses the National Center for Whole Genome Sequencing West under
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Bioengineering and central administration to align project activities with institutional policies and procedures. Optionally, participate in short-term visits to international partners to support leadership team
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characterization via omics data analysis, and other computational tasks such as sequence optimization, data extraction, and DNAseq analysis. We also consider projects in data infrastructure, LLM development with
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, including single-cell sequencing and CRISPR-based screenings. Maintain accurate and detailed records of research activities. Collaborate with internal and external partners across various fields, including
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strategies, DNA assembly, and protein expression: You understand these processes and you can apply them effectively in your work. This includes, for example, oligonucleotide design, sequencing data analysis