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. The position will include opportunities to collaborate with clinicians and researchers studying neurological disorders, develop methods for longitudinally collected positron emission tomography and magnetic
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of granulosa cells and perform bioinformatics analysis. Maintain laboratory records and prepare reports and publications. Assist in the preparation of grant applications. Required Qualifications: PhD
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is located in Pittsburgh, PA, a city with a vibrant research and tech community. The ideal candidate has a PhD in Computer Science, Electrical Engineering , or a related field, with a strong
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, work together, and measure success. Basic Qualifications: A PhD in Materials Science & Engineering, Computational Sciences, Physics, or a related field completed within the last 5 years Demonstrated
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proper hazard controls and emergency. Requirements: Minimum Requirements: · PhD in a relevant field (e.g., Computer Science, Engineering, or related discipline) completed by the start date. · Experience
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Job Requirements REQUIRED: PhD in engineering that includes domain-specific expertise in manufacturing, processes or systems preferred; teaching experience in higher education settings in STEM
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Qualifications PhD in Horticulture, Plant Sciences, Crop Sciences, Agronomy, Horticultural Engineering, or a closely related field Strong understanding of whole-plant physiology, particularly plant responses
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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needed. Job Requirements : PhD in atmospheric science, oceanography, Earth science, physics, engineering, applied mathematics, or a related quantitative field; experience in satellite remote sensing
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of molecular systems have until now only been studied with highly abstracted models. A more detailed modeling approach, inspired on the engineering-type approaches used in molecular systems biology, is needed