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We're looking for a medicinal chemist to drive our drug discovery projects, who is also excited about partnering with machine learning scientists and software developers to advance our computational platforms that accelerate compound design and synthesis.
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Providing technical and organizational leadership for a team of software engineers who design, test, deploy and maintain a live streaming media orchestration system. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
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Key medicinal chemistry principles to your cross-disciplinary colleagues from Computational Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology. Our existing process of progressing from computational hit to experimental hit to lead to drug candidate.
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We encourage individuals with academic teaching experience (high school or higher education), ed-tech experience from start-ups to larger organizations, and those with direct experience in educational publishing to apply, among others whose creativity and/or expertise will lead to success in working with a team to develop teaching and learning strategies for digital learning with an initial focus on AI-supported pedagogical tools.
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Ideal candidates will possess: Familiarity with analyzing oncology clinical dataFamiliarity with DBT workflowsFamiliarity with creating and maintaining BI dashboards; Looker experience nice to haveFamiliarity with machine learning techniques, with an understanding of the strengths and limitations of various approachesProficiency in navigating large, complex problems within a fast-paced environment.
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You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. We are looking for a Language Engineer with strong technical skills which includes coding and natural language processing experience in dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets.
$84,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
$150Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Currently, most hybrid roles require associates to work onsite all business days of one assigned week per four-week period (beginning in September 2024, the requirement will be two full assigned weeks.
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For methods builders we also welcome links to github/bitbucket pages, and relevant bioinformatics/computational biology/machine learning community contributions. spatialtechnology.org) are currently looking for talented postdoctoral researchers to lead large-scale spatial/single cell initiatives within our research program as well as to devise novel computational methods that will enable us to bring these two novel technologies closer to translation.
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Job Description & Requirements Specialty: Interventional Radiology Technologist Discipline: Allied Health Professional Start Date: 08/12/2024 Duration: 13 weeks 40 hours per week Shift: 8 hours, days Employment Type: Travel We need a Interventional Radiology Travel Radiology Tech to make a positive impact on patient care There are Travel Rad Techs and then there are Travel Lead-ers Lead Healthstaff is here to help you lead the charge forward in your healthcare career.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Develop technical standards for the organization and storage (data wrangling) of both operational and collected data, structured and unstructured, for downstream analysis and reporting.
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The Lead Machine Learning Engineer will lead the design, recommendation & implementation of platform, infrastructure and best MLOps/LLMOps practices to support all data science teams and projects in US Segment Advanced Analytics.
$120,610 - $223,990 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work at the intersection of experimental and groundbreaking digital technologies, with a particular emphasis on expertise in machine learning and artificial intelligence (AI) as applied to small molecule drug discovery.
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The Senior Machine Learning Engineer builds Machine Learning models, particularly NLP and LLM, and executes large NLP/LLM models on a cloud environment at scale. The Senior Machine Learning Engineer applies direct ML knowledge and skills to make a direct impact on improving student learning experiences at WGU. This role has the courage to challenge the current state and propose innovative ideas.
$157,000 - $243,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Take the lead role in and is responsible for all departmental activities involving the usage of the LMS, LTIs, and other Instructional Technology in teaching and learning. Specialized knowledge of and proficiency with various software products used in building media and learning assets, including but not limited to: HTML/CSS, Javascript, Screenflow, Premiere, Final Cut Pro, Motion, Photoshop, Illustrator, Hype, audio recording and editing software, emerging AI tools, and others.
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