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, experience and a strong interest in instrumentation, focusing on building or modifying experimental set-ups for optical imaging. Experience and interest in data analysis and the ability to perform basic
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governing the formation of the brain during embryonic development and in early postnatal life. This is based on the understanding that early experience shapes the way our brain is constructed. While
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Qualifications PhD in Neuroscience or other related field Experience in in vivo dosing (IV,IP, SC), mouse brain stereotactic surgery, in vivo two photon imaging, image analysis Qualified applicants must be
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are expected; experience in use of beam-time at synchrotrons or reactors is preferred . Familiarity with solution growth of single crystals, single crystal and powder x-ray diffraction, as well as measurements
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
on Experience / Qualifications Proposed Start Date 05/11/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and
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combination of sedentary and active work. Duties include extended periods of computer use for programming, data analysis, and writing. The role also requires setting up and managing experimental studies in
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Education and qualifications: Required: PhD degree in Biotechnology or related fields. Experience in experimental models and molecular microbiology of serious infections (e.g., bacteraemia, endocarditis
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 4 days ago
have experience with the handling of animal data, long-standing experience in user-centered computing, and scientific publishing. Thus, a PhD degree in computer science or a related field is required
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. This position is part of the DOE-BES initiative Integrated Scientific Agentic AI for Catalysis (ISAAC), a multi-facility collaboration integrating experimental measurements, simulations, and data science to
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experience in single crystal growth (flux, vapor transport, floating-zone, unidirectional solidification, and electrochemical methods) or thin film growth (PLD, MBE, and CVD methods), crystal, and interface