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. Through our disease-focused clinics we offer an inter-disciplinarily approach to patient care that provides access to the most current therapies and to the resources of the University. In parallel with our
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Dark matter is one of the great enigmas of fundamental
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to interdisciplinary initiatives aligned with UTEP's Strategic Plan Goal 4, Initiative 3 (https://www.utep.edu/csrb/csrb-members/faculty1.html), which calls for establishing UTEP as a national leader in research and
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the collective bargaining agreement. The salary range for this position is $72,000 - $154,600 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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Virtual Desktop (AVD); plan routine updates, lead troubleshooting efforts, research and recommend technology trends Utilize tools such as Nerdio and ControlUp to monitor, troubleshoot, and enhance the AVD
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information: https://monacklab.stanford.edu/publications This is a great position for someone interested in gaining broad research experience in microbiology, bacterial genetics and mouse models. The ideal
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) Country Italy Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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timetable for the four-year project to be submitted to DAAD. Development of relevant analytical methods and setting up of required laboratory equipment will be conducted in parallel. Execution of the research
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, including parallel file systems. Uses of tools, scripts or programming, the automation of routine tasks are required to reduce manual workload, improve response time and to ensure system reliability. Creates
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-aware learning methods with domain decomposition techniques, enabling parallel training and efficient GPU-supported implementation. Your tasks: Development of physics-aware ML models for 3D blood-flow