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Field
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) and a reasoning of the choices. It should also indicate the methodologies to be used. The final project description will be developed in cooperation with the supervisor. The understanding of production
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the term of their appointment. In addition to annual leave, the Fellow may apply for leave to undertake research and fieldwork overseas, subject to the approval of the CIL Director. Application Procedure
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mosquito vector. This is to dissect the protein network and how key novel signalling proteins are involved parasite proliferation stages. The work will involves gene targeting both conditional knockdown and
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insurance is required for participation in this program. Health insurance can be obtained through ORISE. Questions: If you have questions about the application process please email USGS@orau.org and include
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Large Language Models Natural Language Processing (NLP) Deep Reinforcement Learning Theoretical Foundations of Deep Learning and AI Optimization Techniques in Machine Learning Collaboration and Mentorship
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designs to investigate the psychological, cognitive, and emotional influences in the study of risky intertemporal choice. The project will employ a wide array of methods, including lab experiments, process
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system for rehabilitation of stroke patients. The candidate will be working with recording and analysis of electromyography and electroencephalography signals in order to detect the intention to reach and
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, western blot, co-immunoprecipitation, qPCR, ELISA assay, gDNA extraction, T7 endonuclease assay, bacterial transformation and plasmid propagation, DNA cloning and point mutagenesis. Generation of CRISPR
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inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor
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ranges from reprogramming intracellular signaling of cells to modeling whole joint mechanics to understand and modify these systems at their respective length scales. Our research focuses on engineering