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Field
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CCSE - Associate Professor in Computer Science - Integrated Preparatory Cycle & Engineering Programs
of affiliation is retained. TEACHING ACTIVITIES Teach computer science across the preparatory cycle and the engineering and Bachelor programs: computer-science foundations for engineers, algorithmics and data
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examine signal processing algorithms and analyze data processing results to support the development, evaluation, and improvement of Navy SONAR systems. Participate in the research and development efforts
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algorithms and techniques at the MAC layer for fast anomaly detection, failure prediction, autonomous recovery, and performance resilience. Service-aware MAC layer techniques – develop novel MAC-layer
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to apply. Responsibilities include: Algorithm development and/or software design Develop C/C++ or equivalent code to interface with developed hardware and associated interfaces (SPI, I2C, etc) Integration
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interested in bacterial genome wide association, prediction of phenotype from genotype and methodological development around this. We also apply theoretical evolutionary concepts to better understand genetic
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, misinformation and political communication, science of science, scientific inequality, collective behavior, human-machine cooperation, algorithmic privacy, and new methods for discovering social heterogeneity. We
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, algorithmic auditing, machine-learning evaluation, or human-computer interaction. Experience conducting multilingual, cross-cultural, or Global South-focused research is particularly valuable. Application
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-Computer Science Job Title Job Category Administrative & Managerial FLSA for Position Exempt Brief Summary of Work for this Position Research Execution & Algorithm Development Collaborate with PIs to execute
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specific focus on financial markets and systems. Students will engage with predictive modeling, machine learning algorithms, and statistical analysis tailored for environments where data is continuously
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
the theoretical foundations of data science and AI. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and