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Field
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research in PPPL-relevant AI4Science topics. The Computational Sciences Department at PPPL was formed to provide a focus for computational physics and engineering. We specialize in algorithms and applied
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and intermediate level, with a focus on programming control, perception, planning, and algorithmic functions for robots. Topics will include data representation, memory concepts, debugging, recursion
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a variety of undergraduate computer science courses, including introductory programming, software engineering, programming language design, data structures and algorithms, networking and cybersecurity
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social media guidelines to ensure consistency in tone and style. Stay informed on emerging platforms, algorithm updates, and industry trends. Support media relations and crisis communications efforts
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hardware matters. Uses skills as an advanced, specialized bioinformatics programming professional with an in-depth understanding of computational algorithms and systems to identify and resolve a wide range
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Python Proficiency: Demonstrate expertise in Python or a similar high-level programming language is essential for developing algorithms and backend logic Azure DevOps Experience: Familiarity with Azure
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systems biology, bioinformatics, algorithm development, and leading-edge technologies including single-cell sequencing. Benefits (Exempt Regular): UMB offers a comprehensive benefits package that
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Demonstrated research experience in computational physics, machine learning, or related areas. Practical experience in developing novel AI/ML models and algorithms. Experience collaborating in multidisciplinary
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drug experts (clinicians, clinician scientists, data scientists, and laboratory investigators) to co-develop phenotyping algorithms but is expected to serve as the domain expert in high-throughput
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Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and