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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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for conditions such as otosclerosis. The position requires expertise in medical image analysis, proficiency with neural network architectures (particularly CNNs for segmentation tasks), and experience processing
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
to improve the capacity of these microbes for efficient, high-yield bioconversions from CO2 and P2X feedstocks, such as methanol, formate, and hydrogen. Our ultimate goal is to prototype and develop next
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imaging support researchers. Islet Biology is a growing focus, particularly with recent recruitments and infrastructure support through the Canada Excellence Research Chair in the Islet Microenvironment
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influence brain and heart health. Responsibilities will involve recruiting participants, screening participants for eligibility, scheduling participants, collecting physiological and brain imaging data (MRI
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an emphasis on technology, data science and the humanities. We are seeking a motivated student assistant to support our research team in processing large-scale microscopic blood-cell image datasets. Your
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-established guidelines to perform the functions of the job. Ability to operate laboratory equipment, such as ultracentrifuge, imager, western blot apparatus, confocal microscope Must demonstrate compliance with
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Applications are invited for the role of Clinical Research Fellow within the Academic Unit, Mental Health and Clinical Neurosciences, based in F3, in the Magnetic Resonance and Precision Imaging (MR
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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical