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a strong computational background and extensive experience developing high-throughput systems for quantitative analysis of behavior and aging, allowing us to connect neural and molecular mechanisms
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decline. The laboratory also has a strong computational background and extensive experience developing high-throughput systems for quantitative analysis of behavior and aging, allowing us to connect neural
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project manager for the Ellison and Brand labs. Responsibilities include performing laboratory and computational experiments, writing and/or contributing to scientific manuscripts, and mentoring students
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group led by Dr. David Klinges in the Department of Ecology, Evolution & Natural Resources. Our work combines computational modeling, field studies, and laboratory experiments to understand how
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. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar platforms. Leads manuscript preparation
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and written communication skills; and ability to understand and communicate in English to sufficiently perform the job duties. Must be computer literate with proficiency and working knowledge
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(NJMS). Under the direction of the Principal Investigator the Post doctoral Associate will perform research. The Altindis Lab studies viral insulin/IGF‑1‑like peptides (VILPs) – sequences encoded by
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advanced robotics to screen libraries of M. tuberculosis for drug tolerance and drug resistance phenotypes. Performs MIC testing, kill curves and other microbiological tests to characterize M. tuberculosis
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in the development of performance standards, selection of methodology, and coordination of the analytical and procedural functions with the research areas to ensure conformance with the goals and
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advanced robotics to screen libraries of M. tuberculosis for drug tolerance and drug resistance phenotypes. Performs MIC testing, kill curves and other microbiological tests to characterize M. tuberculosis