295 algorithm-development-"Multiple"-"Simons-Foundation"-"Embry-Riddle-Aeronautical-University" positions in United States
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stakeholders. Furthermore, this role is pivotal in supporting research activities at HDSI by developing advanced data models, managing architectures, utilizing cloud services for scalable data processing
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development, front-end UI development, and/or signal processing algorithm development. This position will work on all phases of software application development ranging from requirements gathering through
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learning. At least five (5) years of experience in AI/ML/DL or equivalent combination of education and experience. Demonstrated experience in algorithm development and structured programming ability
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intelligence is preferred in candidates applying for this position. Responsibilities Design, develop, test, and debug complex software programs. Implement and optimize algorithms (ML + AI) for data-intensive
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and manage multiple tasks; and • Excellent written and oral presentation skills for reaching audiences both in and out of one’s own field Key Responsibilities & Accountabilities 85% - Co-develop with
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a Frontend Developer skilled in HTML, CSS, JavaScript, React, and TypeScript, and a Full-Stack Developer with expertise in multiple languages such as Java, Bash, Perl, SQL, and C. Whether you are
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powerful model platform, the lab aims to develop an integrative understanding of how animals adaptively respond to their sensory world, from molecular detection to the neural algorithms of complex motor
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well as develop and deliver advanced training. This is an excellent opportunity if you thrive on the opportunity for collaboration with complementary groups across PSC, particularly Computational Biology, User
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stakeholder groups. Involving multiple industry/corporate partners in each project and setting the proper expectations. Interviewing, selecting, and placing interns. Working with industry partners to prepare
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depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here