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clinical research with an emphasis on novel technology development. Why should I apply? Under the guidance of a mentor, you will learn and gain hands-on experience to complement your education and support
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algorithms for the evolution of inorganic aerosols in the atmosphere, building upon the research group's efforts in modeling combustion-generated aerosols. These modeling framework will be used to understand
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Science and Engineering, or a related area is required. The position will involve developing models and algorithms for the evolution of inorganic aerosols in the atmosphere, building upon the research
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Experience Research background in child development, learning sciences, or related fields Interest in early science education, teacher professional development, self-regulated learning, and metacognition
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(MAClab; http://maclab.sites.tamu.edu). The lab investigates emotion and cognition in both healthy individuals and those with psychiatric conditions and is expanding its work in treatment-focused research
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for geometric PDEs, in particular for fluid problems posed on surfaces. Both theoretical analysis of numerical methods and code development. Job requirements: PhD in mathematics or applied mathematics, experience
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
Professional Counselor (LPC) for independent practice by providing experiences that promote clinical and professional development. In addition to their status as employees at the MUCC, Fellows are also trainees
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This position will serve to support the research of the Glazer Lab to carry out drug development studies characterizing the action of an LXR agonist on inhibiting tumor progression and normalizing
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information about the Kaczorowski lab can be found at http://kaczorowski.lab.medicine.umich.edu The successful candidate will be able to plan, develop, execute, and analyze an independent research project in
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of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) development of novel machine learning models and adaptation of existing approaches for scientific applications