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week. Job responsibilities: Develop machine learning (ML) models for protein binding affinity prediction in collaboration with PhD students in the group Analyze and document results in a format
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journals and/or conference proceedings, demonstrating significant contributions to the field. Expertise in machine learning algorithms for pattern recognition and predictive modeling in biological data
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receive mentorship and resources to prepare them for an independent career, including advanced training in research methods like fMRI, machine learning, network science, and psychometric analysis. They also
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all transitioning military members to apply. You will: Use accepted methods and techniques, design, develop, and implement of RF propagation models including environmental effects such as space weather
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Experience with Git, GUI development, open source scientific computation, computer vision, physics modeling, or machine learning tools ARL at Penn State is an integral part of one of the leading research
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Experience with Git, GUI development, open source scientific computation, computer vision, physics modeling, or machine learning tools ARL at Penn State is an integral part of one of the leading research
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/or education and competencies are required for higher levels. A Master’s degree or PhD in Software Engineering, Computer Science, Computer Engineering, Information Science and Technology or related
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experience in a field directly applicable or highly related to Geospatial Sciences, Engineering, or Computer Sciences. Able to adapt and learn new skills, to execute specific research projects, and to meet
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and technology needs. The SOA Division engages in projects related to hardware/software technologies for autonomous systems, data acquisition and machine learning for asset health monitoring and life
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. Government and Industry sponsors. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. In this position, you will support and conduct basic and applied