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PhD Student / Postdoctoral Researcher (gn*) Molecular Biology Reference Number: 10836 Fixed term of 3 years | Full- or Part-Time (65% or 100%) | Salary Grade TV-L E13 | Centre of Reproductive
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
postdoctoral fellow with expertise in microscopy to integrate into our vibrant team. Additional expertise in cell biology, immunology, or bioinformatics is preferred. The postdoctoral fellow will perform large
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The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and
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Darby and Professor Steve Paterson). You should hold a PhD in Molecular Biology, Bioinformatics or relevant Biological or Life Sciences subject area and have experience in bioinformatic analyses. Prior
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systems and research infrastructure. For further information, please contact Dr. Venkata SATAGOPAM (email address: ). Your profile A PhD in computer science, computational biology, bioinformatics
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Darby and Professor Steve Paterson). You should hold a PhD in Molecular Biology, Bioinformatics or relevant Biological or Life Sciences subject area and have experience in bioinformatic analyses. Prior
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well as with experimental data. A suitable candidate may focus on a specific expertise, such as bioinformatics. The main work will concentrate around sarcomas, but our solutions are generic and may be applied
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activities in circuits of murine models of 22q11.2 and 3q29 deletion syndromes, two rare conditions that confer the highest genetic risks of schizophrenia. Qualifications: PhD in computational neuroscience
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letter): PhD. in Genomics, Bioinformatics/Computational Biology or equivalent. Proficiency in molecular biology laboratory techniques. Experience supported by scientific records related to development new
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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics