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Responsibilities The successful candidate will (1) use microbiological, physiological, ecological, and molecular techniques to study host-symbiont interactions in the shipworm symbiotic model system, (2) design and
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research. Prepare and write research papers, presentations, grant proposals. Train Graduate Students. Qualifications: PhD in Computer Science or related field (completed or near completion) Strong
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-symbiont interactions in the shipworm symbiotic model system, (2) design and conduct experiments and analyze results as part of a structured research program created in cooperation with the lead PI, (3
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strategies. The candidate will join the Machine Intelligence Group for the Betterment of Health and the Environment (MIGHTE) led by Prof. Mauricio Santillana. MINIMUM QUALIFICATIONS PhD in a quantitative field
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The work heavily depends on data-driven, evidence-based modeling and collaboration with practitioners. The successful candidate will have completed a PhD (any discipline, required by start of appointment
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management ● Supervising and coordinating undergraduate research assistants ● Helping to mentor masters and doctoral students ● Designing experiments, collecting data, analyzing and writing papers
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linear algebra, and algorithm design. Proficiency in Python and/or MATLAB; familiarity with numerical optimization libraries and scientific computing. Strong written and oral communication skills; ability
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approaches to identify novel natural product scaffolds and elucidate their mechanisms. Key Responsibilities · Design and execute microbiological, biochemical, and genetic studies to identify and characterize
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targets. Design and execute molecular biology and protein biochemistry experiments. Apply techniques such as: DNA/RNA purification, PCR, qPCR, molecular cloning Protein expression, purification, Western
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conferences, talks, and first-author manuscripts. Experience in some of these methodologies is required. Qualifications: Applicants should have a PhD degree (or PhD candidates in the final year of their thesis