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Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers in an effort to advance software network controls and data sharing mechanisms to enhance
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. Diverse synthesis methodologies—including wet chemistry, bio-templated growth, chemical vapor deposition (CVD), electron-beam (E-beam) evaporation, and sputtering deposition—are leveraged to engineer and
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structures, molecular networks, and disease-resistance phenotypes. Artificial intelligence (AI), machine learning, and bioinformatics will connect genotypes with phenotypes and identify maize and fungal genes
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through participation in professional meetings and trainings and networking with experts. Mentor(s): The mentor for this opportunity is Linda Hansen ([email protected] ). If you have questions about the nature
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translational vaccinology within a highly collaborative research network. Within this opportunity, you will be engaged in the following learning objectives: Applying machine-learning/AI platforms including
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foundation models, fine-tuning & prompt engineering Physics-Informed Neural Networks & hybrid models Deep Reinforcement Learning for process optimization GANs, VAEs, diffusion models for synthetic data
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virtually. $125 per week stipend based on part-time participation each week. Program provides the opportunity to learn from world-renowned scientists and engineers. Program offers optional professional
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laboratories. This fellowship will also collaborate with MicrobeNet, a free online virtual reference laboratory run within BSPB, to create an organized state and national surveillance network of diseases which
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international regulatory operations, emerging technology, and pharmaceutical market policy, you will develop a robust portfolio of analytical, writing, and collaborative skills. Engagement with FDA's global
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, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and