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models (rodent handling/surgery experience a plus). ● Familiarity with quantitative/computational approaches (e.g., R, Python, image analysis, statistics) is a plus but not required. ● Ability
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Engineering, or Computer Science. Preferred Qualifications: * Prior research experience with PET imaging. * Prior experience with clinical research in neurocognitive disorders or neurodegenerative diseases
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, Biomedical Engineering, or Computer Science. Preferred Qualifications: ● Prior research experience with PET imaging. ● Prior experience with clinical research in neurocognitive disorders
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, Biomedical Engineering, or Computer Science. Preferred Qualifications: ● Prior research experience with PET imaging. ● Prior experience with clinical research in neurocognitive disorders
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an established code (for example VASP, Quantum ESPRESSO). ● Research experience performing molecular dynamics simulations. ● Experience training, fine-tuning, or validating machine-learning interatomic
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to apply tensiomyography and ultrasound to evaluate skeletal muscle structure and function, able to analyze MRI images of skeletal muscles ○ Image analysis: quantify muscle architecture and fat fraction
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to apply tensiomyography and ultrasound to evaluate skeletal muscle structure and function, able to analyze MRI images of skeletal muscles ○ Image analysis: quantify muscle architecture and fat fraction
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contribute to host defense. The postdoc will receive comprehensive training in a broad range of experimental techniques, including cell culture, molecular and biochemical assays, imaging, and infection models
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would have strong interpersonal skills, experience generating and analyzing stable isotopic data, intermediate R coding and data management skills. Expertise in isotope ratio mass spectrometry (IRMS
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would have strong interpersonal skills, experience generating and analyzing stable isotopic data, intermediate R coding and data management skills. Expertise in isotope ratio mass spectrometry (IRMS