250 electrical-machine-design-"https:"-"https:"-"https:"-"https:"-"https:" positions at Zintellect
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to the opportunity. A Current Resume/CV. Academic Records: The applicant must submit records for the most recent degree or degree in progress. Unofficial transcripts or copies of academic records provided by
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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have an interest in substance use, posttraumatic and/or operational stress, suicidality, and artificial intelligence/machine learning (AI/ML). What will I be doing and why should I apply? As the selected
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complete application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant
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the application of machine learning/artificial intelligence (ML/AI) in environmental health. This project aligns with ATSDR's current strategic initiatives and will provide you with opportunities
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complete application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant
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). Discipline(s): Communications and Graphics Design (6 ) Computer, Information, and Data Sciences (17 ) Engineering (29 ) Environmental and Marine Sciences (3 ) Life Health and Medical Sciences (8
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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environments, including heat, cold, high-altitude, and subterranean. You will be using specialized software tools, such as COMSOL, to run and analyze different scenarios and develop guidance, design, and
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Applications You will collaborate with FDA staff to design and develop pilot applications and proof-of-concept tools. These activities will aim at investigating how automation, machine learning, and advanced