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-of-the-art experimental and bioinformatic approaches to study this biological phenomenon at the molecular, cellular, and organ level in various vertebrate species, ranging the evolutionary continuum from
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and characterization, along with proficiency in immunological techniques and assays, are highly desired. Additionally, knowledge of bioinformatics tools and databases for advanced data analysis is
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-of-the-art experimental and bioinformatic approaches to study this biological phenomenon at the molecular, cellular, and organ level in various vertebrate species, ranging the evolutionary continuum from
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, immunology, pathology, cancer biology, bioinformatics, or related fields. Experience in working with animal models (mouse or rat) is desirable but not necessary. The candidate should be able to work both
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are welcomed. Candidates should have a Ph.D. (or equivalent qualification) in genetics, epidemiology, biostatistics, computer science, bioinformatics, computational biology, or a related field. Proficiency in
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disease development in humans. The successful candidate will be a recent Ph.D. graduate in computational biology, systems biology, computer sciences, bioinformatics, or related disciplines, with
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of cancer, molecular biology, immunology, and microscopy; working knowledge of genomics and bioinformatics; excellent writing and communication skills. Preferred Field-of-Expertise: Biomedical research
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through bioinformatic methods and analyses, prepare scientific manuscripts and present research findings at scientific conferences and meetings. Good communication skills, organization, and record-keeping
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computational biology, systems biology, computer sciences, bioinformatics, or related disciplines, with demonstrated expertise in machine-learning-based approaches, programming skills, proficiency in Python and R
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recent Ph.D. graduate in computational biology, systems biology, computer sciences, bioinformatics, or related disciplines, with demonstrated expertise in machine-learning-based approaches, programming