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engine. Algorithm Development: Contribute to designing, prototyping, and testing algorithmic models for personalized content recommendations. System Evaluation: Support the evaluation of the recommendation
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research team in support of two interdisciplinary, NSF-funded projects at the intersection of computer vision, computational biology, and psychology. This position is ideal for an advanced doctoral candidate
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military members to apply. You will: Create Algorithms 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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: algorithms, theoretical computer science, bioinformatics, computer security, artificial intelligence, machine learning, data science, or databases. Faculty will be expected to teach in both the residential BS
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Scientific Machine Learning. The successful candidate will develop and deploy state-of-the-art SciML algorithms in high-performance computational physics codes. We accept applications from all candidates with
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Department of Physics at Penn State is seeking to hire a Postdoctoral Scholar. This individual will work with Dr. Reka Albert on performing computational
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REQUIREMENTS The Nittany AI Alliance at The Pennsylvania State University (PSU) is looking for talented and driven PSU undergraduate students to join its Advance program as a Data Scientist, Front-end Developer
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technical staff to research, design, develop, integrate, and test advanced signal processing algorithms for performance and cyber security related aspects. ARL is an authorized DoD SkillBridge partner and
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experience with data annotation and labelling, as well as understanding of (coursework) in machine learning algorithms Schedule: up to 20 hours per week Compensation: The starting rate for this job is $15
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creation of processes and algorithms to transform traditional GEOINT imagery and open source data into spatio-temporal information describing places, events, and activities Model the physics of remote