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water quality parameters and predict cyanobacteria blooms in the Tietê system reservoirs. Activities: 1. Develop machine learning models for estimating water quality parameters via remote sensing; 2
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unit goals. Works under direct supervision, with specific instructions on routine or semi-routine work and established work parameters for the unit. Work is usually reviewed upon completion. Performs
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educational programs resources and materials (e.g., fact sheets, instruction manuals, educational videos, online courses, computer software programs, apps, etc.) Conduct applied or translational research
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C644914747-0000023 funded by funded by Recovery and Resilience Plan (RRP) https://recuperarportugal.gov.pt/ and Next Generation EU European Funds Application submission from 20-Feb to 06-Mar-2026 WHO WE
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. Participates in vendor evaluation, vetting, selection, and contract negotiations; makes recommendations regarding contract awards. f. Advises vendors of policies and procedures and establishes parameters
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Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area President Department 01274 - HCI Biorepository Location
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visually-guided decision-making in the fruit fly, Drosophila melanogaster . More information about Dr. Card and the lab’s research can be found by visiting https://www.hhmi.org/scientists/gwyneth-card About
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use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for microscopy image analysis are especially relevant. Include a link
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uses structural biology, biochemistry and cell biology to analyze factors that affect protein folding. For more information about the lab, please visit: https://sites.lsa.umich.edu/bardwell-lab/ About
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engineering What you will do Develop grey-box models that combine first-principles multiphase flow descriptions with data-driven components Formulate and implement parameter estimation and system identification