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Aschenbrenner, PhD, is part of the Faculty of Mathematics at the University of Vienna. We are looking for a Senior Scientist to conduct research in model theory; to initiate an effort in computer-based
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analyses or game theoretic analysis. Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. The evaluation of
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JOB SUMMARY The Physiological Acoustics Lab (http://escabilab.uconn.edu) at the University of Connecticut seeks applicants for a postdoctoral position in systems and computational neuroscience
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning
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to contribute to the day-to-day success of a world-class research laboratory. While prior research experience is welcome, the team is primarily seeking someone who is dependable, detail-oriented, eager to learn
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. Essential qualifications PhD in computational statistics, bioinformatics, systems biology, or a related field. Strong expertise in statistical methods, including machine learning approaches, for analysis
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Posting Details Position Details Title Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Biostatistics Campus IU
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expertise in solid tumour biology, tumour immunology, cancer evolution, experimental medicine, computational oncology, artificial intelligence and machine learning approaches to cancer research. However, we
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experience with managing, processing, and analyzing large datasets and strong programming skills especially in Python. ● Experience working with transmission power flow and machine learning models. ● Strong