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Field
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, in vitro models, and large collections of well-annotated clinical specimens. We employ state-of-the-art computational biology/bioinformatics approaches to dissect acute and adaptive responses to RAS
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any discipline of cancer research • Excellent track record of research accomplishments • Keen to embark on exciting and innovative projects in experimental and/or bioinformatics laboratories
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culture, molecular cloning, flow cytometric analysis, multiple-omics analysis, bioinformatics, and animal experiments is preferred. · Be highly motivated individuals who can work in a team
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group including around 15 people focusing mainly on fungal ecology and evolution. To study fungi, we often combine field work with DNA-based laboratory methods and bioinformatics. Most land plants form
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molecular and cellular biology techniques such as CRISPR/Cas9 gene editing, flow cytometry, RNA sequencing, and imaging technologies. Analyze and interpret experimental data using bioinformatics/statistical
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years of relevant experiences in animal work, cell culture, molecular study and/or bioinformatic analysis Prior working experience in the areas of immunology or aging is preferred but not compulsory
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About You Essential Completion of a PhD in infectious disease epidemiology, veterinary science, animal science, immunology, bioinformatics, or a closely related discipline. Demonstrated postdoctoral
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to independently work in a collaborative research environment are required. Preference will be given to individuals with hands-on experience in RNA and/or epigenetic technologies. Bioinformatics or animal management
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collaborations with USDA experts in molecular virology, immunology, bioinformatics and genomics. Mentor(s): The mentor for this opportunity is Stephen Spatz (stephen.spatz@usda.gov ). If you have questions about
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support from Fundação para a Ciência e a Tecnologia, IP.P. / MCTES through national funds (PIDDAC), 2023.17326.ICDT. Scientific Area(s): Bioinformatics, Biology, or related areas Work Plan and Objectives