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mechanics, FEA, CFD, or equivalent field. Proficiency in one or multiple finite element analysis software (e.g., ABAQUS, LS-Dyna, ANSYS), and in computational fluid dynamic software (e.g., Fluent, CFX
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environments and/or containerization Strong interest or familiarity with transposable element biology Ability to understand Expectation-Maximization algorithms or Bayesian statistical methods Track record
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cost-benefit analyses. Develop methods and tools to support budget impact analyses that can be adopted by researchers and organizations providing SUD treatment or related interventions addressing HIV
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the effects of cadmium and therapeutics (selenium, JQ1) and other contaminants on the behavior, neurophysiology, and genetics of zebrafish, carry out elemental analysis to study tissue and whole burden
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. Experience in phage biology, imaging methods, or bioinformatics is a plus. Other qualifications that will be considered are a background in statistical methods, a strong work ethic, the ability to work in
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quantitative, qualitative, and/or mixed methods analyses that address the specific aims for grant-funded studies on brain health and Alzheimer’s disease and related dementia risk. 2. Must be able to develop
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qualitative research methods. Disciplinary background is open within environmental governance, including but not limited to: political science, political ecology, sustainability science, human geography
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, maintain a strong understanding of current principles, latest publications, methods, and advancements in the field. Understand and interpret research protocols and ensure all research is conducted according
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Qualifications Ability to lead MS based projects with minimal oversight. Proficient in basic statistical methods and design of MSI / LC-MS experiments and techniques. 3+ years of relevant experience in a research
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engineering pipelines. Implement models in Python using frameworks such as PyTorch, TensorFlow. Perform statistical analyses and model benchmarking against existing methods. Collaborate with wet-lab scientists