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. Examples of research might include (but are in no way limited to) understanding the impact of algorithmic recommendations on political discourse; exploring how AI and machine learning can support new models
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review. You will possess master level quality, accuracy, speed and knowledge for your assigned specialist area and execute reflex testing algorithms. Work schedule: 100% FTE, Fixed Duration Appointment
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orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See https://equity.unl.edu/notice-nondiscrimination/ Minimum Required
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Engineering (IMSE) at The University of Texas at El Paso (UTEP) https://www.utep.edu/engineering/imse/ is a dynamic department within the College of Engineering. The department offers one undergraduate degree
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, bioinformatics pipeline development, and computational analysis of large-scale biobank datasets to study cardiovascular disease genetics. Primary responsibilities include analyzing common and rare genetic
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understanding of molecular and cellular organization. A key focus is on predictive modeling of how genetic variation alters the biophysical properties of neurons and the downstream phenotypic manifestations
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 14 days ago
according to the evaluation criteria listed below. 4.3 The Application Form must be fully completed, dated and signed, and its use is mandatory. It is available at: https://www.nms.unl.pt/pt-pt/faculdade
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, genetic information, veteran status, marital status, and/or political affiliation. See https://equity.unl.edu/notice-nondiscrimination/ Minimum Required Qualifications For all positions: Ability to thrive
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of Quantum Circuits, Design Automation and Tools for Quantum Circuits, Robust and Efficient Mapping of Quantum Algorithms on Quantum Machines, Quantum Noise-Aware Optimizations for QML, QML Security, Error
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis