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niche. You will be involved in designing, developing and implementing high-throughput bioinformatics and machine-learning solutions to analyse large-scale genomic and transcriptomic datasets (bulk and
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-sheet microscopy to CryoEM, genomics, and informatics. You will work with PhD-level bioinformatics scientists and researchers who have single-cell RNA-seq and spatial transcriptomics data to investigate
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of technical documentation. Your profile: A completed university degree (Master's or equivalent) in Bioinformatics, Computer Science, Life Sciences, or a related discipline. Strong expertise in database
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. The project forms part of the multi-disciplinary SoilSystems Priority Program, involving 16 collaborating research institutions across Germany. Your tasks: Bioinformatic analysis of long- and short-read
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Qualifications: Bachelor’s degree in Computer Science, Bioinformatics, Biostatistics, Computational Biology, Data Science or related field Applicants must meet minimum qualifications at the time of hire. Preferred
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Faculty Positions, Aging and Neurodegeneration, Westlake Laboratory of Life Sciences and Biomedicine
-of-the-art core facilities at WLLSB, including cryo-electron microscopy, mass spectrometry, flow cytometry, light microscopy, genomics, metabolism, bioinformatics, and high-throughput screening. WLLSB has
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, and image analysis software (ImageJ, QuPath, or similar) Experience with omics workflows (scRNA-seq, spatial transcriptomics, or related bioinformatics) is an advantage Excellent organization
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 29-Oct-25 Location: San Francisco, California Type: Full-time Categories: Staff/Administrative Internal Number: 86634BR This is a 100% full-time position, divided into 50% research and 50% clinical laboratory (UCSF...
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. Experiments involve bioinformatics, state of the art bacterial genetics/genomics, cell culture, and mouse models of infection. Standard operating procedures (SOPs) for these assays models will be developed and
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Program. Experience with mouse modeling and/or bioinformatics is desired. Excellent candidates with other research programs/focus relevant for head and neck cancer will also be considered and are