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Field
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treatment performance and cost under evolving water conservation conditions. The successful candidate will hold a PhD in Civil and Environmental Engineering or Chemical Engineering and have demonstrated
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of research that encompasses the discovery of new molecular targets for cardiovascular disease prevention, and the application of ML/AI approaches to cardiovascular imaging and other data for improved
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Centers: Otolaryngology, Head & Neck Surgery Appointment Start Date: Applications will be reviewed on a rolling basis until the positions are filled. The start date is flexible. Group or Departmental
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machine learning methods are a plus. Qualifications: PhD in neuroscience, or related fields DeepLabCut or similar methods Demonstrated hands-on experience with 2-photon imaging techniques Experience
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sheath). Candidates with strengths in theoretical modeling, asymptotic analysis, or numerical simulations are also encouraged to apply. Required Minimum Qualifications: PhD in Mechanical Engineering
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electrophysiology in brain slices and cell cultures. Performs behavioral tests in mice. Performs in vivo 2p imaging in head-fixed mice. Compiles and analyzes data with appropriate conclusions and recommendations in
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, governance reviews). Other expectations include managing EDC health (e.g., timely entry, queries, SDV/SDR), reconciling key datasets (SAE, labs, imaging), and tracking/acting on KPIs (e.g., activation
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Classification Title: PhD in Bioinformatics, Computational Biology, Biomedical Engineering, Data Science, or a related field. Classification Minimum Requirements: PhD in Bioinformatics
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biology techniques such as: Western blotting, ELISA RNA/DNA isolation, RT-qPCR Immunofluorescence and confocal imaging Mentor trainees and contribute to institute-wide collaborations Contribute
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biology, cancer biology, and/or molecular biology preferred • Experience in image processing and analysis also preferred • The candidate will report directly to the Principal Investigator and will