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projects utilizing software engineering, human factors usability, and design/visualization in developing applications to optimize combat casualty care. These projects include software mobile application
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to discover and optimize novel therapeutics, with future research focusing on developing next-generation proximity-inducing drugs. Key Responsibilities: Propose hypothesis-driven target molecules based
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Center for Biologics Evaluation and Research (CBER) | Southern Md Facility, Maryland | United States | 5 days ago
features of true microbial contaminants versus host-derived and process-related background signals in NGS datasets. Gain experience in defining, benchmarking, and continuously optimizing key performance
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% Experimental Design and Implementation: Design and perform experiments to assess the regulatory roles of histone PTM-interacting proteins in transcription and associated processes. Develop and optimize genomic
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-the-loop (HIL) validation. The Research Staff will contribute to the design, modelling, simulation, validation, and optimization of electric vessel power systems, with strong emphasis on battery-based
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to the design, modelling, simulation, validation, and optimization of electric vessel power systems, with strong emphasis on battery-based propulsion, onboard microgrids, EMS algorithms, and real-time validation
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with advanced statistical techniques (optimal Bayesian, Markov Chain-Monte Carlo, etc.) to solve the forward and inverse problems involved. Additional information about AGAGE, CS3, and MIT atmospheric chemistry
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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning
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of Public Health and Primary Care. The post-holder will contribute to the development and application of a simulation model exploring optimal approaches for iron supplementation in blood donors in England
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, or transitions to faculty. The position is optimal for applicants wanting to a) link multi-omic patient results to mechanistic, causal biology; b) eager to integrate wet-lab experiments with advanced bioinformatic