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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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of water intended for agricultural use. The selected candidate will contribute to the development and optimization of desalination processes (membrane-RO), the analysis of treated water quality (especially
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the development and optimization of advanced microbiome experimental workflows such as DNA/RNA extraction from complex biological samples, library preparation for next-generation sequencing, and high-throughput
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the industry. Metals Production, Refining and Recycling section (MPRR) You will be part of the Metals Production, Refining, and Recycling section at TU Delft, where cutting-edge research is conducted to optimize
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multiple systems Driving use-case studies that demonstrate the benefits of semantic integration, e.g. in scheduling, resource sharing, or formulation optimization Collaborating with chemical engineers
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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
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, and maintain high work ethics. We especially welcome applicants who are recent graduates and are interested in pursuing an independent academic career. Job Duties Designs, optimizes, and executes
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. The postdoctoral project will be focused on the design of optimized generation schemes for tailor-made electron beam and radiation sources in laser-produced plasmas. As a postdoctoral scientist, you are employed by
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 2 months ago
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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resonance imaging (MRI) experiments in living rodent models to complete the work proposed in funded grants (CPRIT, NIH, other grants). Develops and optimizes scan sequences to enable quantitative in vivo MRI