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advanced AI and bioinformatics approaches to large-scale single-cell and multi-omics datasets. The project will focus on integrating these data to investigate cellular and tissue-specific signalling
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-performance computing, particularly in the theory of efficient string and data structures, sequence indexing, and large-scale data analysis. Experience with the Burrows–Wheeler transform, pattern matching, and
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Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. Expertise of large scale data handling Experience
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The University of Gothenburg tackles society’s challenges with diverse knowledge. 58 000 students and 6800 employees make the university a large and inspiring place to work and study. Strong
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postdoctoral in Biological Data Systems to develop scalable data infrastructure and computational systems for large biological datasets. The position will be embedded within the Human Protein Atlas at KTH and
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genomics and transcriptomics, antibody development based on phage display, large-scale mass spectrometry-based proteomics, and associated bioinformatics. The department is also responsible for several
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relative to one another. Regarding scientific expertise The following qualifications will be assessed: Required: Experience and scientific achievements in AI applications involving large-scale medical data
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, longitudinal patient and population registries and biobanks. Project description Large language models (LLMs) enable the extraction of clinical information from unstructured medical text. However, current LLM
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environmental research, and to work towards openness, reproducibility, and maximizing scientific impact from the large volumes of research data generated in the field. You will collaborate with researchers, data
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are looking for an Industrial PhD Student to join an ambitious project focused on building foundational models of human biology using large-scale, multimodal data. In this role, you will work at the