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Strong background in statistical analysis and machine learning, with knowledge of -omics data being a plus. PhD or equivalent experience in Computational Biology, Machine Learning, or related field with a focus on biology.
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More Full Time Jobs Senior Machine Learning Engineer Cambridge, United Kingdom. Machine Learning Engineer Cambridge, United Kingdom. The Scientific Data Cloud is the only open, cloud-native platform purpose-built for science that connects lab instruments, informatics software, and data apps across the biopharma value chain and delivers the foundation of harmonized, actionable scientific data necessary to transform raw data into accelerated and improved scientific outcomes.
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The ideal candidate has a machine learning background, with previous experience building large-scale generative models, complex pre-processing pipelines, and comprehensive benchmarks to support scientific tasks.
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Leading the team through the life cycle of a D365 implementation providing key inputs during design, migrating data from external systems; conducting and supporting solution testing; building test cases; assisting with functional, system and user acceptance testing and conducting and supporting user and administrator training.
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Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.) We are seeking a highly motivated machine learning/AI scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization.
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Support and maintain both Rancher and OpenShift Container Platform across data centers, AWS GovCloud and closed area networks. An employer is seeking a Platform Reliability Engineer with experience in OpenShift and/or Rancher Kubernetes-based platforms to sit 100% remote for one of our largest defense customers in the Fortune 500.
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It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.
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Familiarity with Docker, Git, ML development toolkits (e.g. PyTorch)Familiarity with training and adapting Machine Learning models, and familiarity with the Huggingface ecosystem and Transformer family of models.
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment.
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Profound experience in data science, machine learning, and data engineering programming using python and higher-level libraries such as numpy, pandas, scipy, statsmodels, scikit-learn, TensorFlow, matplotlib, Plotly, or similar.
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Women’s Health Services is seeking a Medical Office Administrator to join our team. Skills/Qualifications· Must be committed to reproductive justice and enthusiastic about accessible abortion care· Clear, effective communicator· Able to prioritize various administrative tasks and delegate as appropriate· Detail-oriented· Strong organizational skills and time management· Approachable and non-judgmental· Able to collaborate well and motivate team members· Desired qualifications/skills: Spanish speaking, previous experience with the above-listed responsibilities.
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Should have a strong background in at least two of the following areas: Algorithm Development, Machine Learning/AI and Data Analysis, Mathematical Modeling and Simulation, Digital Signal Processing, Control Algorithms Design.
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ServiceNow Administrator/Developer is part of the Duck Creek Information Systems team and provides day-to-day administration and support for the ServiceNow platform. The ServiceNow Administrator is responsible for designing, developing, building, and scripting applications and providing support and knowledge for our ServiceNow system users.
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The Specialized Products & Advanced Research Capabilities (SPARC) Group is seeking a Principal Machine Learning Researcher to be part of a multidisciplinary team of researchers and engineers dedicated to developing cutting-edge technologies with significant and immediate impact on our national security.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. Experience in building and designing solutions for data warehouses and experience in working with large data sets in Oracle and Snowflake.
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