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Field
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data processing using ImageJ/Fiji or equivalent software. Knowledge of amphiphilic block copolymer self-assembly is highly desirable. Experience in integrating molecular catalysts, nanoparticles
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backed by demonstrated recent and relevant research and development in the field is a fundamental requirement of this position. Experience with neutron transport and reactor analysis software (SCALE code
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skills and experience; strong computer skills including Excel, statistical and/or graphical software (ex. Adobe Illustrator, ImageJ, Powerpoint); excellent organizational and communication skills; ability
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collection and analysis of data, particularly utilizing Qualtrics and or RedCap survey software/programming and statistical packages, and keeping the detailed data secure and recorded Assists research team in
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
software studies, and it analyses how GenAI is interfaced (SP1), how GenAI creates new relations to archives (SP2), experiments with prototyping alternative interfaces to GenAI (SP3), and utilise artistic
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operational and application software; and educates and trains the next generation of computational scientists. A postdoctoral associate position is available immediately for candidates interested in and capable
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, statistical software, and scientific manuscript preparation. Familiarity with neurological rehabilitation, spinal cord injury research, and neuromodulation techniques is desirable. Willingness to interact with
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-on experience in nanoparticle synthesis, surface functionalization, and chelation chemistry 2. Proven analytical abilities, including proficiency in data analysis software and statistical methods 3
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 13 days ago
candidate should have experience in finite element analysis software packages, such as Abaqus. The candidate should have experience in scientific computing with Python, including familiarity with
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/data-driven modelling; parameter identification and optimization; scientific software development. Importantly, direct experience with PVD is not mandatory. Candidates with strong backgrounds in