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successful in this position, you will ideally bring the following: For the Networking and AI position: Completed a PhD in Computer Science, Electrical & Computer Engineering, or a closely related field Expert
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, equally capable of working alone and as part of a team, and holds a PhD in economics or a related field. The position requires expertise in either experimental, empirical, or theoretical methods or, ideally
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within UT Dallas. Candidates with a PhD in Communication Sciences and Disorders, Speech and Hearing Science and other related fields (e.g., Neuroscience, Cognitive Science, Engineering and Psychology
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it in Physics with a focus on accelerator physics, or Electrical Engineering with a focus on RF/Accelerator Physics Strong background in accelerator physics and beam diagnostics. Excellent problem
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. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students. Applicants must have a PhD in psychology, cognitive neuroscience or a
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of Research ExperienceNone Additional Information Eligibility criteria The candidate must hold a PhD in physics or engineering sciences. He/she should have an experimental profile and demonstrate a strong
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experience in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++
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for recent MD and PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data
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the field of glioma. The current project is interrogating the role of ATRX in immunotherapy response using murine and cell line models, including genetically engineered lung cancer model. Cell line model
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the functional diversification of synapses in defined neural circuits. In this project, you will use an array of approaches, including CRISPR/Cas9 genome editing, viral vector technology, and quantitative super