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As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science. You will work on raw sensor data and the core, fundamental features at WHOOP. This role will be tasked with solving the incredibly difficult technical problem of obtaining physiological information from noisy sensor data and enhancing diagnostic tools and control methodologies.
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We provide brief interventions using evidence-based techniques such as Problem Solving Treatment, Motivational Interviewing, Cognitive Behavioral Therapy, and Behavioral Activation in Primary Care, Family Practice, and OBGYN settings.
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This is an excellent opportunity for someone with outstanding customer service and problem-solving skills to learn about renewable energy finance and solar project management. Are flexible, and utilize problem-solving skills with a dedication to always getting it right.
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Maintain a current working knowledge of EHS regulations and laws to provide expertise for EHS assessments, capital projects, work orders, and general EHS related problem solving at the site and corporate level as needed.
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2+ years experience as a software engineer or similar engineering role - Excellent problem-solving skills to address dynamic, complex problems early - Required experience with one of the following: JavaScript, React, Node.js, Typescript, Python - Preferred experience with some of the following: Tailwind, Django, CI/CD, frontend web UI framework, PostgreSQL - Experience in an Agile Scrum environment - Excellent written and verbal communication skills.
$90,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.
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Part-Time 20 hours Screens gynecologic and non-gynecologic cytologic material; reviewing with pathologists all non-gynecologic and all atypical/abnormal gynecologic specimens. QualificationsBachelor’s degree in medical technology or a science from an accredited school.
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The Part Time Trainer/Restorative Justice Specialist- K-12 and Higher Education will also work with CRJ staff on various projects to support our ongoing work with external partners and our internal growth and development as a team.
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The Algorithms, Machine Learning, & Data Science Group within AES Advanced Tech Team creates advanced algorithms in the fields of machine learning, artificial intelligence, signal processing, intelligent control, and other areas of electrical engineering and computer science that are of strategic interest to the AES Business Unit’s goals and roadmaps.
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The EDA Group is focused on solving the semiconductor design industry's high-value problems, including the march to angstroms, multi-die system integration, rapid node migration, right-first-time silicon, and reliability.
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As a Research Engineer in Science, you'll be a part of the research department, The Research Engineer in Science must accomplish the following: Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology.
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CSO's make important contributions to the department's commitment to the philosophy of prevention through Community Oriented Policing and Problem Solving (COPPS) by:Providing exceptional customer service, thereby creating a positive image for the department.
$18.8 - $24.9 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In this role you will be part of one of the largest environmental consulting offshore wind energy groups and working within a team environment with a wide range of multidisciplinary scientists, permitting specialists and subject matter experts.
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We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few.
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The team leverages its experience in the fields of signal processing, computer vision, computational linguistics, machine learning, artificial intelligence, communication systems, and other areas of electrical engineering and computer science to create impactful solutions.
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problem solving part time science jobs in Boston, Norwood, Massachusetts
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