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://www.hogberglab.net/ ). You will contribute to the ERC Advanced Grant project qScope , where you will create and improve existing bioinformatic tools and network algorithms to help us to map RNA or protein molecules in
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cytometry leading to publication in peer-reviewed journals is recommended. Preferred skills include experience with mouse models, bioinformatics skills (R, Python), background in T cell immunology, and a
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(bioinformatics) present results at group meetings, seminars and conferences and contribute to high-quality publications Your qualifications you are a motivated and enthusiastic scientist who can work independently
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websites https://www.augusthuanglab.org/ and https://www.khoshkhoolab.com/ . Candidate qualifications include: PhD and/or MD in computational biology, bioinformatics, genomics, or other related fields
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
, IMPREG signature) for precision immuno-oncology panels. Preferred qualifications: Ph.D. in bioinformatics, computational biology, computer science, statistics, or a related field. Strong programming skills
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biopsy development. This role is suitable for candidates with either (i) a computational background (e.g. bioinformatics, data science, computational biology) who enjoy working closely with experimental
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analysis (RNA-seq) and associated bioinformatics workflows. ⦁ Histological analysis of tissues, including sample preparation, staining (H&E, immunohistochemistry, or immunofluorescence), and microscopy
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. bioinformatics, computational biology, computer science, physics, mathematics) is highly desirable. Organizational Capabilities: Ability to manage computational resources, projects, and data effectively. What we
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. The research environment is cross-disciplinary with PIs specialized in bioinformatics, biochemistry, microbiology, molecular biology and genetics. You will be working in a leading research group in legume
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, synthetic biology or a related discipline (full award or expected within 6 months). The successful candidate will have excellent skills in molecular biology, bioinformatics, biochemistry and metabolic biology