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approaches. Formal models are directly applied in real experimental facilities. Marine Robotics is our current emphasis, without excluding candidates with prior experience on Aerial or Ground Systems. We
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complementary and synergic methods at the intersection of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation
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technical methods and processes, to be carried out with responsibility and autonomy—though under qualified higher supervision—which arise from the exceptional and temporary increase in activities within
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, organismal, or systems-level immunology, including in vivo models, advanced imaging, single-cell or multi-omics methods, or computational immunology. The successful candidate will be expected to establish
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, or some other mutually agreeable date thereafter. Rank will be determined based on qualifications and experience. We welcome outstanding applicants developing novel methods in statistics, data science, machine
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to: 100% employer-paid basic medical coverage Retirement contributions Paid vacation and sick time Paid holidays Please visit UT Austin's Human Resources (HR) website at https://hr.utexas.edu/prospective
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measuring station for the thermomechanical modification of plant-based materials. Preparation of samples for research analyses. These analyses will mainly involve instrumental methods (SEM/EDX, DSC) as
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world. We look forward to receiving your application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is
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such as American Politics, Comparative Politics, Formal Theory/Quantitative Methods, International Relations, and/or Political Theory, and accepts applications in advance in the event the occasion arises
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) approach to teaching/learning in healthcare simulation. Remains active in facilitating simulation teaching and learning and stays current in debriefing methods across a wide variety of disciplines. Provides