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evaluative content that may be submitted for conference presentation or publication. Constructs tests or assists in the construction of tests. Collaborates with other researchers or colleagues. Participates in
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to novel approaches to structure learning, intrinsic motivation, fundamentals of cognition, and the sensorimotor loop, embodied and adaptive robotics. The Research Fellow in Emerging Topics in Adaptive
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The DFG-funded Research Training Group “Mixed Ionic-Electronic Transport: From Fundamentals to Applications” ( www.grk2948.uni-heidelberg.de ) is an interdisciplinary structured doctoral program at
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more independence than traditional postdoctoral positions, each fellow is mentored by an Institute Core Faculty and a member of the Translational AI Team. This mentorship structure is designed to support
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. Knowledge of desistance theory is particularly relevant. Qualitative research skills and experience are desirable. Personal skills Applicants must be able to work independently and in a structured manner
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control of biogeochemical properties or transient tracers is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Applicants must
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collaborative. Computer Science at Carnegie Mellon is also distinctive for our research style, educational programs, commitment to diversity, culture and organizational structure. We are seeking a Research
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develop high performance ReRAM devices. To carry out physical vapour deposition (PVD) of ReRAM structures 300 mm wafer using ULVAC Entron system. To coordinate with circuit designer and semiconductor
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Environment and Energy Efficient buildings, Wind Turbines, Structural Design, Structural Materials, Geotechnical Engineering, Wave Energy to Traffic along with many other areas. The research is conducted in a
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postdoctoral fellow to study HIV-1 vaccine immunology. We use an interdisciplinary approach combining structural biology, molecular biology, biochemistry, and immunology to generate insights that can be