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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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experience in analysing whole genome and methylome sequencing data. Experience in machine learning or AI models. Proficient in Python or R programming. Experience in high-throughput compute cluster and Unix
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Project and Research Environment Large Language Models (LLMs) are increasingly used in legal question-answer contexts. It is now well known that answers may contain noise, for example, in the form of so
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. What you bring We are looking for candidates with: A PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or a closely related field; A strong publication record in
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-based Earth system simulations and predictability science: developing advanced data-driven methods to exploit the large amount and variety of EO data products to better reconstruct and simulate complex
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the ambition to grow. For more information about LIACS, visit our website. What you bring We are looking for candidates with: A PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision
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, and contribute to science communication and our open-source tools Your Profile Master and/or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, or a closely related field
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international team environment. Preferred Qualifications Demonstrated expertise in quantitative data analysis and statistical modeling. Experience working with large, complex, and multi-dimensional datasets
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24 Jun 2026 Job Information Organisation/Company ETH Zürich Research Field Biological sciences » Other Computer science » Other Medical sciences » Other Researcher Profile Recognised Researcher (R2
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hold, or shortly expects to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics