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skills. Preferred Qualifications: Prior research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization
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, opportunities will be available for involvement in translational and clinical research. Job Responsibilities: Maintain accurate laboratory documentation of experiments, including raw experimental data and
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mathematics, computational biology, quantitative biology, or a related field. Experience in ABM development and ODE/PDE modeling and analysis. Strong programming skills (Python, Julia, Matlab, C++, or similar
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toxic chemical exposures. Funded by the National Institute of Environmental Health Sciences (NIEHS), the Achanta laboratory seek to develop medical countermeasures and identify biomarkers of chemical
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to join our team. We invite individuals with expertise in microbiology, immunology, systems biology, or computational biology to contribute to innovative research on the female urogenital microbiome
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to therapies and vaccines against human diseases. We are a team of highly interactive investigators that have expertise in immunology, molecular biology, virology, microbiology, structural biology, computational
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, performing data collection and processing of cryo-EM data. Setup of future hardware and software as the research technology is upgraded. Providing lab members support in data collection, image processing, map
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of immunology and molecular biology preferred. Candidates should have excellent scientific writing and strong oral communications skills Experience in leading research papers for publication and data
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research training program, unless research training under the supervision of a senior mentor is a primary purpose of the appointment. · The appointee works under the supervision of a scholar or a department
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, computer science, bioinformatics, or o ther related disciplines is required. Strong interest, research background and experience in the methodology research in functional data analysi s, tensorregression, high