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psychiatry, or a related field is required. Proficiency with programming and data analysis using at least one of MATLAB, Python, or R is required. Certifications/Licenses Required Knowledge, Skills, and
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of vibrational probes to increase contrast. Yet, in practical applications, MIP often lacks sensitivity, spatial resolution and the ability to accurately quantify specific chemicals in complex samples. The project
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at the Department of Neuroscience and Cell Biology within Robert Wood Johnson Medical School will perform research on mouse behavior and conduct data analysis. The primary research interest in the lab is to
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on Belostoma species that exhibit parental care in Missouri, with opportunities to expoore acoustic and vibrational communication, social behavior, and reproductive strategies. The preferred start date
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dopamine release in motor control. We are seeking self-motivated individuals with a strong background in synaptic biology, neuronal culture and live cell imaging to conduct quantitative analysis using novel
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cutting-edge research on structural vibrations, contact mechanics, wave propagation, and robot mechanics, from advanced modelling and simulation to large-scale experiments. In close collaboration with
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 13 days ago
for generating entangled photons involves bulky, alignment-sensitive bulk-optic assemblies. These systems are ill-suited for the rigorous vibration, thermal cycling, and radiation environments of space
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editing). Familiarity with flow cytometry and data analysis using software such as GraphPad Prism, R, or Python. Excellent organizational, record‑keeping, and communication skills Equipment Utilized
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Qualifications Strong background in receptor signaling (insulin/IGF‑1 axis preferred). Experience with in vivo mouse models and mammalian cell culture. Proficiency in data analysis using statistical software (e.g
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to experimental data analysis. Make advances in one or more of: multimodal data fusion/joint inference; uncertainty quantification with realistic noise/measurement error; complex physics- and artifact-aware forward