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computational methods and tools, including prior experience with algorithms relevant to computational biology, is a plus. ● Ability to work independently as well as part of an interdisciplinary team in a
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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analyzing large, multi-dimensional datasets. Experience with both spatial and temporal statistics, including experience with non-normally distributed data and statistical analyses including regressions, t
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may include but are not limited to: algorithm and software development; application or development of computational or statistical methods; data analysis; modeling; statistics and machine learning
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effective climate adaptation in PJ woodlands. First, managers need to know how climate change will alter the ecological potential of their PJ woodlands (e.g. the potential distribution of plant species, and
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factors" - those key issues that must be addressed to achieve the established discharge plan; use of clinical pathways, algorithms, and clinical guidelines; use of specific protocols to address component
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has also been developing physics-based machine learning algorithms for three dimensional seismic modeling, imaging and inversion using high performance computation including parallelization on GPUs
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of algorithms Ability to design, implement, and execute empirical studies, General fluency in machine learning methodology, Joining the CMU team opens the door to an array of exceptional benefits, available
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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be a central contributor to the project "Workplace Income Distribution by Social Class in the United States Manufacturing Sector, 1967-2022," whose principal investigators are Dr. Tali Kristal