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Field
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-learning core of an interdisciplinary research project at the interface of genomics, deep learning, and plant biology. Your work will focus on developing and applying predictive models that link genetic
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at the interface of nonlinear mechanics, statistical mechanics, and disordered materials. Central themes may include mechanical instabilities, localization, fracture and damage, collective response in heterogeneous
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at the interface of systems biology, AI, and translational medicine, with access to exceptional datasets and strong publication potential. Key Tasks and Responsibilities Apply advanced statistical and machine
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intersection of: Human-computer interaction and human-centred AI Adaptive and multimodal interface design Driver state monitoring and contextual interaction Human factors and cognitive/perceptual ergonomics
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: manuscripts for peer-reviewed journals presentations at scientific conferences internal reports and group meeting presentations Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5
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the Department of Chemistry and Biochemistry at the University of Texas at Dallas. Dr. Fasan is seeking candidates who are interested to work at the interface of chemistry and biology within a highly interactive
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, linking functional outcomes to genetic perturbations in mouse models. The position provides the opportunity to work at the interface of genetics, mouse behavior, and molecular neuroscience, with additional
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Fellow with a PhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, or a related quantitative field to join an interdisciplinary research program focused on Alzheimer’s disease (AD
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and industrial sponsors Collaborate and work with a team of researchers from diverse backgrounds, and interface with research teams across industry, academia, and national laboratories Additional
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experience with engaging rural/agricultural audiences in Texas and/or youth. The postdoctoral scholar will interface collaborators throughout Texas. The initial appointment is for one year with an opportunity