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We are seeking a highly skilled and motivated Computational Biologist to join our innovative team, focusing on image analysis, machine learning, and data visualization applied to Stellaromics' cutting-edge STARmap and RIBOMap technologies.
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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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Lead Machine Learning Engineer - Semiconductor. Machine Learning | Semiconductor Manufacturing | AI | Electrical Engineering | Automation | MLOps | Java | C. Lead the development and deployment of machine learning algorithms for semiconductor manufacturing challenges.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
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Master’s degree in Data Science, Bioinformatics, Computational Biology, Machine Learning, Statistics, or a related field with 5+ years of experience (PhD preferred). Contribute to the design, development, and optimization of machine learning models.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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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.
$402,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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National certification (CPhT) - Staff adheres to all C.A.R.E. Standards - Must be able to understand and clearly communicate with all areas of health care personnel - Must understand the basic operations of the Pharmacy Department, including processing prescriber medication orders, the operations of the Omnicell cabinets and software, Epic, the repackaging (pre-packing) machine, and any other technology that the Pharmacy employs in its operations.
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Role: Machine Leaning Cloud Engineer. Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required. Experience in Object Oriented Programming (Python), SQL, Unix scripting or related programming languages and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.
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Panda Intelligence is currently representing a novel oncology-focused Biotech with roots in MIT and one of the most prominent tech accelerators in the US, with the team currently seeking a Senior Computational Chemist with machine learning expertise ahead of advancing their AI-driven small molecule drug discovery pipeline.
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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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5 plus years of experience in machine learning, computational biology, bioinformatics, systems biology. PhD in Computer Science, Physics, Mathematics, Bioinformatics, Machine Learning, Data Science, or relevant fields.
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Ability to operate, maintain and properly clean dishwashing machine, sinks, floor cleaning equipment, and silver burnisher. Responsibilities Include (but are not limited to):Clean and sanitize china, glass, and silver using the dishwashing machine; load and unload dishware and flatware from dishwashing machine and store properly.
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Familiarity with machine learning techniques and software (e.g., scikit learn, PyTorch, TensorFlow, Keras) Experience with machine learning, specifically in time series domains. Are you interested in tackling challenging, real-world problems using the latest techniques in human state assessment and machine learning.
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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.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated Today
machine job Title: nurse in Waltham, MA
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