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Catchlight is seeking a dynamic Director of Engineering to lead our team in developing products using machine learning, large language models (LLMs), modern web applications, APIs, microservices, and cloud-native architecture.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
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Lean Box, a vending machine of fresh, healthy snacks available at subsidized prices. Solid understanding and hands-on experience in functional genomics like CRISPR screens, next-generation sequencing, and single-cell data.
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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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Experience in understanding business issues of large CSP, accelerated Computing/ Data Center technology/ Deep learning & machine learning. AWS (Redshift, Aurora, Glue), Google (BigQuery), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR or Cloudera/Hortonworks, etc.
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Implement and support statistical analyses, machine learning models, and processing pipelines/scripts for behavioral, EEG and multimodal neuroimaging analysis, including resting state and task-based fMRI, DTI and volumetric data.
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The Machining Manager is responsible for overseeing all machine shop personnel, and working to meet the company's expectations for safety, adherence to quality standards, and ensuring parts are manufactured according to the requirements of the production schedule cost-effectively.
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Master’s degree in Data Science, Bioinformatics, Computational Biology, Machine Learning, Statistics, Mathematics, Physics, and 3+ years of professional experience. The successful candidate will work at the interface of data analytics, data mining, statistics, bioinformatics, and machine learning with broad impact across early discovery, candidate development, and biomarker discovery.
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We enable a broad set of applications for computational fluid dynamics, weather modeling, molecular dynamics, seismic modeling, and distributed machine learning. We enable a broad set of applications for computational fluid dynamics, weather modeling, molecular dynamics, seismic modeling, and distributed machine learning.
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Quantitative and computational skills (e.g. Computational Biology, Biostatistics/Statistical Genetics, Machine Learning, or Bioinformatics). The ideal candidate will possess strong genomic analytical skills, experience in applying machine learning and statistical models to big data, and the ability to communicate complex findings to various stakeholders.
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Understanding of Artificial Intelligence, Machine Learning, Data Science and Robotic Process Automation. We assist companies and non-profit organizations in delivering benefits to their employees.
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The candidate will work with Superluminal's diverse scientific team to leverage latest advances in biology, medicinal chemistry, machine learning and computational biology to discover the next generation of medicines for high unmet need diseases.
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Fidelity’s Financial Intelligence Unit (FIU) is seeking a motivated Squad Leader/Product Owner with a passion for building business critical Fraud Prevention capability, using a range of data science, machine learning, software and data management technologies and tools.
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Able to move portable x-ray machine to examination site. Comprised of Tufts Medical Center, Lowell General Hospital, MelroseWakefield Hospital, Lawrence Memorial Hospital of Medford, Care at Home - an expansive home care network, and large integrated physician network.
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Collaboration: Collaborate closely with cross-functional teams, including bioinformatics, medicinal chemistry, biology, and machine learning, to integrate computational biology approaches into drug discovery projects.
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machine job Company: Raising in Cambridge, MA
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