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promotion subject to funding availability and satisfactory performance. This position is primarily computational/dry-lab. The successful candidate will work closely with our wet-lab team to address key
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approaches • Prior experience with spatial transcriptomics, single-cell omics, or related biological datasets is a plus but not required — candidates from purely computational backgrounds are strongly
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on Bioinformatics and Computational Biology in Cancer Genomics and Immunology. This position will be involved in the development and/or application of computational approaches to understand the mechanism of cancer
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of scientific principles. Strong molecular and cell biology techniques, as well as experience working with mouse and human models. Strong general computer skills, experience with databases and scientific
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Researcher (R3) Application Deadline 23 Aug 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Public selection for the awarding of 1
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building and applying state-of-the-art machine learning approaches, including foundation models, variational autoencoders (VAEs), and transformer-based architectures, to integrate single-cell and multi-omic
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Job Description Apply now Job Title: Postdoctoral Associate - Cancer biology and bioinformatics Division: Molecular and Cell Biology Work Arrangement: Onsite only Location: Houston, TX Salary Range
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join an ambitious Horizon Europe/New
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study characterizing translation functions across human 5′ UTRs (Lewis et al., Molecular Cell, 2025. PMID: 39706187). Responsibilities will include computational mining of viral metagenomic databases