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Field
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-performance computing, bioinformatics or evolutionary theory. Required skills are; commitment to ethical conduct of research, self-motivation and independence, good documentation habits and a track record of
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through the development of more effective diagnostic and therapeutic approaches. Qualifications and Experience · PhD in Bioinformatics, Computational Biology, Statistics, Genetics, Genomics, or a
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, infection biology, bioinformatics or another relevant biological discipline. You should have experience of confocal microscopy and fluorescence imaging, together with expertise in quantitative image analysis
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National Institute of Allergy and Infectious Diseases, NIH | Rockville, Maryland | United States | about 1 month ago
. Qualifications Ph.D. in a relevant field (immunology or molecular biology) Experience in next-generation sequencing, including setting up barcoded libraries and bioinformatics data analysis for antibody discovery
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) years in Computer Science, Data Science, Computational Engineering, Bioinformatics, Computational Social Science, or another highly quantitative field with substantial emphasis on machine learning, deep
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bioinformatic analysis of transcriptomic or proteomic datasets. Experience with animal surgical techniques (e.g., orchidopexy models). Experience working on the Wnt/Bcatenin signaling pathway. Requisition ID
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to adaptation, and the evolution of species barriers in forest tree systems. The position requires a Ph.D. in forestry, evolutionary biology, population genomics, quantitative genetics, bioinformatics, or a
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through participation in community-scale synthesis research in the molecular and cellular sciences Contribute to research activities involving computational biology, bioinformatics, biological data analysis
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and bioinformatics tools. • Work with team members across different disciplines such as chemistry, biology, neurosurgery and engineering. • Write up manuscripts for peer-reviewed journals, grants
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hold, or be close to completing, a PhD/DPhil in bioinformatics, computational biology, statistical genetics, or a related field, with strong quantitative and computational skills. Experience applying AI