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Field
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Department Name RADIATION ONCOLOGY Location Code RADIATION ONCOLOGY (06720A) Is this split and/or fully grant funded? Yes Duties and Responsibilities Dosimetry techniques optimization: Accurate dose
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significant computational and systems immunology approach with collaborators. You will join an outstanding, collaborative, and supportive group within the Meyer Cancer Center, the Englander Institute
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methods (e.g., fluorescence, reflectance, or label-free modalities). Collaborate on development and optimization of imaging instrumentation and workflows. Perform tissue preparation, imaging, and data
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: This postdoctoral position will contribute to the development of scalable and intelligent communication systems for large-scale computing platforms. By optimizing network interconnects and communication strategies
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in AI-modeling, Monte Carlo simulation, and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize
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with strong emphasis on developing, testing, and implementing optimized control or design strategies for water systems. They should have documented experience developing computational tools in water
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computer science, operations research, applied math, statistics, or a related field Strong background in machine learning, optimization, and/or algorithm design Excellent written and verbal communication skills
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and papers supporting the scientific case for polarized deuterons. Contribute to the design, simulation, and performance optimization of the BHCal for the EIC. Participate in the assembly, calibration
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supervision of the Principal Investigators/Director of the Program for Sustainable Pavement Engineering and Research (PROSPER) at InTrans and collaborate closely with federal and state departments
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. The postdoctoral fellow will lead a project focused on developing optimized strategies for observing, processing, and archiving the datasets from current and future large astronomical facilities, with emphasis