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Field
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imaging; cellular and molecular biology studies and assays including for example cell culture and transfections, qRT-PCR, RNA and DNA isolation and preparation, ELISAs, tissue histology and microscopy, and
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, collaborate with top scientists, and develop novel computational approaches to analyze complex biological datasets. We are committed to fostering the academic and professional growth of our fellows in a dynamic
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J. Physical Demands and Work Environment Overview Statement This position will be direct mentor for 1-2 undergraduate researchers in the lab. Manage, train, and schedule undergraduates and hourly
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develop novel computational approaches to analyze complex biological datasets. We are committed to fostering the academic and professional growth of our fellows in a dynamic and supportive research
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as mathematics, economics, finance, ecology, biology or physics. The ideal candidate has a strong background in mathematical modeling and computational techniques, and an interest in interdisciplinary
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-level graduate training. Ability to commit to an independent scientific career in stem cell biology, immunology, or a related field, with a proven high degree of independence and self-motivation
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A postdoc position in the Torben Heick Jensen lab, Aarhus University, Denmark: Mammalian Nuclear ...
computational biologists aiming to examine the factors and complexes governing the production and turnover of eukaryotic transcriptomes. The postdoc will be affiliated to the Department of Molecular Biology and
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Hall sits between the Biology and Chemistry buildings and is home to our graduate training program in Quantitative and Chemical Biology (https://iuqcb.indiana.edu). Simon Hall houses other biochemists
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stronger theory/computation leanings and one with a strong background in molecular biology and experience with metabolomic data. What we offer 3-year Postdoctoral contract State-of-the-art platforms
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assemblage of huge biological data sets on species distributions and traits built from primary sources, as well as huge genomic data sets. We work with novel macroecological process-based and null models