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Field
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well as in a collaborative, team-oriented environment. Preferred Qualifications: Prior experience working with mouse models of cancer is strongly preferred; candidates without prior experience will be
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machine learning model development; Experience designing research projects and managing project delivery; Experience processing, documenting, and analyzing data sets; Ability to excel in a highly
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genetics of disease models, human pluripotent stem cells derived neurons, high content imaging, electrophysiology, single cell RNA sequencing, bioinformatics, and spatial transcriptomics technologies. We
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journals and present results at meetings and conferences. Supervise and Mentor: Guide students and technical staff, contributing to their training and development in the field. You may be a great fit if: You
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brain injury. The successful candidate will work on animal models of brain injuries and apply cutting-edge spatial multi-omic sequencing to study the cellular and molecular changes. The role involves both
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application please include detail on how you match the person specification. Main Duties The responsibilities may include some but not all of the responsibilities outlined below. Developing novel computer-based
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large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and
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models, frameworks, and methods to confront complexity underlying persistent societal challenges affecting the well-being of people and the planet. This position represents a unique opportunity to
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Campus in North Austin. Purpose This position aims to advance innovative processing and acquisition methodologies for land DAS and dense surveys, focusing on synthetic modeling, 4D analysis, and seismic
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Research Fellow — Electric Vehicle Fast Charging Modelling and Control Job No.: 679659 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration