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Field
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are seeking highly motivated Research and Development Engineers to join our Computational Intelligence and Visualization Application Department of the Applied Research Laboratory (ARL) at Penn State. You will
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departments to address complex issues through evaluation and problem assessment. 3. Conduct advanced research in computational science, including developing new algorithms, models, or simulations to address
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nanocrystal morphology and optical property characteristics. The researcher will work collaboratively with graduate student(s) to design and implement a machine learning (ML) algorithm using the database as
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Scheduled Hours 40 Position Summary Performs innovative data analyses on neuroimaging and related data. Develop and implement computer algorithms for analyzing that data. Assume major responsibility
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magic, quantum circuits, quantum algorithms (3) Quantum many body computations, including sign problem theory, Quantum Monte Carlo method, DMRG, and machine learning Appointments of postdoctoral
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computational tools and algorithms developed in the lab for processing and visualizing proteomics data (known as FragPipe computational platform). The individual will work in close collaboration with other
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. They will contribute to all phases of project development including conceptualization, design and implementation of algorithms, computational analysis of genomic and other omics data, simulations and testing
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departmental research and teaching areas, including algorithms, bioinformatics, computer vision, human-computer interaction, machine learning, computer graphics and VR, cyber-physical systems, computer
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Engineering, or Computer Science 2. Demonstrated, successful experience programming in algorithm level languages such as Matlab/Simulink, Python or similar 3. Demonstrated, successful experience developing
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Electrical Engineering, Computer Engineering, or Computer Science 2. Demonstrated, successful experience programming in algorithm level languages such as Matlab/Simulink, Python or similar . 3. Demonstrated