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and embedded systems (e.g., C, C++, Linux, PyTorch, TensorFlow, MATLAB, Python, Robot Operating System) is required. The position is open to PhDs with backgrounds in AI, and/or computer vision and
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, operations planning, space hardware, electronics, embedded system development, and NASA procedures and practices; Experience in the design, development, and testing of space instruments, payloads, or
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join a new initiative focused on designing and developing a machine perfusion system to improve organ preservation. The candidate will work in a dynamic, multidisciplinary environment alongside PhD
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join a new initiative focused on designing and developing a machine perfusion system to improve organ preservation. The candidate will work in a dynamic, multidisciplinary environment alongside PhD
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nanoparticles embedded within the device. The work combines advanced nanofabrication methods, such as electron-beam lithography and OLED fabrication via evaporation and solution-processing with
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Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under the direction of a senior faculty member who serves as a
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in vivo perturbation experiments to uncover how genes shape immune-cell states and predict how the immune system responds to interventions. This tight integration of advanced machine learning and
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include genetic engineering of the selected microorganism to increase its yield and robustness, followed by large-scale cultivation in a 100 L bioreactor. The post doc position is embedded in a larger
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University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses
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commence 1 May 2027 or as soon as possible thereafter. Our research The research group investigates how cells maintain protein homeostasis through the protein quality control (PQC) system and how defects