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Desired skills Working knowledge of biology, genetics, genomics, or DNA sequencing Familiarity with algorithms for analyzing high-throughput DNA sequencing data Familiarity with algorithms for analyzing
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Ridge National Laboratory. The SDS Group consists of researchers focused on delivering computational solutions for the study of complex engineered systems using scalable architecture-aware algorithms
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at the nanometer scale, in order to benchmark ISOM. On the computational side, the work will focus on the implementation of reconstruction algorithms and calibration methods.ES, regular (weekly) meetings will be
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datasets, algorithms, and tools for specific AI applications Integrate AI capabilities into existing software systems and applications Collaboration and Documentation (20%) Collaborate with cross-functional
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postdoctoral researcher with a strong background in sequence bioinformatics, algorithms and data structures. The successful candidate will join an interdisciplinary effort developing innovative diagnostic
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patients with eye infections, specifically corneal ulcers, through deep learning image analysis algorithms applied in clinics and health-system interventions. The goals will be for the student to get
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. Skills: Analytical Thinking, Artificial Intelligence Algorithms, C++ Programming Language, Communication, Data Analysis, Feature Engineering, Git, Independent Problem Solving, JavaScript, Linux
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, economics, and all branches of science. Current concerns include the development and analysis of algorithms for the solution of problems of estimation, simulation and control of complex systems, and their
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Responsibilities: Design, implement, and tune algorithms for digital control, A/D sampling, pulse synchronization tailored for power converters applications (DC-DC, AC-DC, DC-AC). Develop and implement firmware
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algorithms from technical sources (e.g., papers, notes, and group discussions) in close collaboration with group members. The work is primarily algorithmic scientific software development: implementing and