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Field
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Operations, Laboratory Techniques, Linux, MATLAB, MRI Analysis, Oral Communications, PET/CT, Python (Programming Language), Researching, Results Reporting, Scientific Writing, Statistical Analysis, Unix
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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human
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program during the postdoctoral training. Requirements: We are looking for an enthusiastic scientist with a desire to work on a challenging and timely project using state of the art technology as part of a
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interpretation and strain performance analysis. Automation and Computational Skills: Experience in implementing automation protocols for microbial strain engineering; Working knowledge of statistical analysis
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Programming, C++ Programming Language, Data Integration, Genome Assembly, Genomic Data Analysis, Genomics, Independent Research, Machine Learning, Molecular Biology Techniques, Python (Programming Language
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interdisciplinary exchange, a growing population science training program, and research support services designed to develop and nurture promising areas of new population research. Affiliates of the MPC benefit from
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Language Model (LLM) and their use in Model-Driven Engineering (MDE) and software architecture Demonstrated proficiency in MDE, including expertise in modeling, meta-modeling, model transformations, and
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cost of coverage. Medical, Dental and Prescription Drug Coverage: The cost of coverage is shared between employees and the University. Rates are determined by participation in Wellness Program and use
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University. Rates are determined by participation in Wellness Program and use of tobacco products. Coverage is available on the first of the month following appointment date. TIAA Retirement Contributions
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of experience in a laboratory setting. Proficient in computational tools and programming languages such as Python, R, or Bash, as well as experience using Linux-based high-performance computing