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-time inference within rendering pipelines Minimum Qualifications: • Ph.D. in Computer Science, Visual Computing, Interactive Media, or related field • Strong C++ and/or C# programming expertise
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of acoustic wave physics and numerical simulation methods. Experience with finite-element methods tools such as COMSOL is highly desirable. 4, Proficiency in scientific programming and data analysis
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experience and skills: Fluency in either Python programming, including regular expressions, version control and collaboration with git, standard packages (e.g., pandas, numpy, matplotlib), and at least one
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branches of physical sciences, or in math, computer science, and electric engineering who have an interest in accelerator physics will also be considered. Strong programming skills. Proficiency in the
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computing (HPC), autonomous software infrastructures, and AI-enabled engineering systems. RESEARCH AREAS Area 1 — AI for Programming Systems Research topics include AI-assisted compilation and
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. Programming expertise in Python or other scientific programming languages is a plus. Excellent oral and written communication skills. Experience with automation, control, and instrument infrastructure. Ability
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programming, pilot innovative initiatives, and design experiences that address the needs of midcareer faculty while partnering closely with CFDA leadership. This position requires an estimated commitment of
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psycho-educational workshops Program development and outreach programming Consultation regarding developmental and psychological/ emotional health issues Campus training (in conjunction with Counseling
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specialized programming needs of the Center and the broader campus ecosystem. Duties and Responsibilities: Employer Outreach and Relationship Management Directs the operational execution of the Center’s
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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
intelligence (AI), machine learning (ML), deep learning (DL), LLMs, genomics, agentic AI, computational chemistry and related areas. Proficiency in programming languages commonly used in bioinformatics and AI