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Field
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Genetic Studies: Support studies on genetic variants affecting drug metabolism, particularly those relevant to Asian populations. Work with bioinformatics and clinical collaborators to interpret
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are essential. About you PhD in Bioinformatics, Computational Biology, Data Science, Computer Science or a related field. Strong programming skills, with proficiency in Python, R, or other relevant languages
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Medicine and Bioinformatics. The specific objectives of the project are to (i) develop mathematical and data analysis methods to analyze resilience, robustness, and tipping points of network dynamics, when
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postdoctoral researcher will perform independent and directed research to achieve the objectives of the research project within the Department of Computational Medicine and Bioinformatics. The specific
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Posting Details Position Details Title Postdoctoral Fellow in Bioinformatics Specific Title Postdoctoral Fellow in Radiology & Imaging Sciences Appointment Type Postdoctoral Fellow Department IUSM
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University of Pennsylvania | Pennsylvania Furnace, Pennsylvania | United States | about 2 months ago
. This highly collaborative project adapts proteomics, genetics, bioinformatics and CRISPR/Cas9 editing to reveal this overlooked but essential form of retrotransposons-based regulation in development, fertility
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experience: Essential criteria PhD awarded in genetic epidemiology, statistical genetics, bioinformatics or related discipline Postdoctoral research experience in genetic epidemiology, statistical genetics
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adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact Biosciences staffing. About you You must have a PhD in bioinformatics
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at . About you You must have a PhD in bioinformatics, biosciences, computational biology, computer science, data science or a related subject area and proven knowledge of python programming, developing machine
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Qualifications PhD in Microbiology, Immunology, Systems Biology, Bioinformatics, or a related discipline. Proven experience in microbiome research, particularly in gut microbiota. Experience with next-generation