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publications. The exact research topics and activities will be designed to fit individual interests and expertise. We are looking for someone to start immediately. Qualifications Required Qualifications: ● PhD
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building and testing analysis and monitoring software for its upcoming data run in 2027. 70%: Research, divided between Mu2e and Mu2eII. 10% Supervision of graduate students, technicians, and undergraduates
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tools and pipelines for omics data analysis, including differential expression, pathway enrichment, and network analysis Experience with statistical analysis software (R, Python) and data visualization
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, biogeochemistry, and porous media physics. Qualifications Qualifications: PhD in Civil & Environmental Engineering, Hydrology, Geosciences, or a related field. Preferred Qualifications: Strong background in
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outcomes. The individual will be expected to develop stimulation strategies and testing algorithms, write code, and develop software. They will do extensive validation and testing, under the supervision
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, networking, and conference travel. • A competitive salary and benefits package in accordance with institutional and NIH guidelines. Qualifications Required Qualifications: • A PhD, MD, or MD/PhD in Physiology
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mainly be responsible for developing the building blocks of a forest planning model (adapting inventory data, assessing current growth and yield projections, defining current forest management strategies
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, applicants must have a PhD or PsyD in clinical, counseling, or school psychology and have completed an APA-accredited internship Preferred Qualifications: Preference will be given to applicants with
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development, conference attendance, and opportunities to expand the candidate’s research network are also provided. Functions: ● Characterize how interactions between fungi and other organisms, particularly
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, or a related technical field. ● Strong programming skills in Python, Java, etc. ● Expertise in machine learning, neural networks, and deep learning ● Excellent writing and communication skills ● Highly