37 phd-computational-linguistic Postdoctoral positions at Pennsylvania State University in United States
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medicine program is a collaborative research effort that offers many opportunities for scientific interactions and advancement. Duties include (but are not limited to): Designing and executing experiments
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, Biosystems, or Environmental Engineering and must have completed all PhD degree requirements by the appointment date. Experience in process modeling is required, and expertise in techno-economic analysis and
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to the researcher’s career goals. Applicants must have a PhD in rural sociology, sociology, geography, or a related field, with experience in mixed-methods social science research in rural settings, including
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, Robotics, Computer Vision, or related disciplines. Proven expertise and hands-on experience in one or more of the following areas: large language models (LLMs), end-to-end learning, AV localization
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laboratories of Dr. Juliana Vasco-Correa and Dr. Christine Costello on multiple funded research projects, performing computational modeling of crop and livestock production and forestry systems, and
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focus and interest. Fellows will work directly on research projects of CGNE-affiliated faculty, pursue independent research activities in line with their developing program of research, and engage in
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: Your role at the lab is to investigate the behavior of individual molecules and bio-molecular condensates in living cells. You will use and develop the imaging and computational methods that to visualize
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: PhD in Biology, Neuroscience, Systems Biology, or a related field with a focus on neurodevelopment, transcriptomics, or systems biology. Strong background in mouse models and neurodevelopmental
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tools (e.g., light sheet fluorescent microscopy) and computational approaches to examine cellular resolution details in the whole mouse brain. Moreover, we use systems neuroscience approaches (e.g
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journals and present at academic and professional conferences. Mentor graduate and undergraduate students, including guiding PhD students in their research. Collaborate with faculty and other researchers in