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Strong technical expertise required in one or more of the following areas: Firewalls, Network Intrusion Detection and Prevention Systems, Routers and Switches, MDM, EDR, SIEM, AI, Machine Learning, Packet decoding and analysis, Web Proxy Servers, Load Balancing, SSL VPN Solutions, Web application firewalls and data loss prevention technologies.
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Implements GCP QA activities that support an outcome of compliance and adherence to US and ROW relevant laws, regulations, guidance; upholds the rights and welfare of patients; is focused on data integrity and end to end quality assurance activities.
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The OCS System Administrator will also support maintenance and enhancements of real-time data processing, field assets, and communication systems that empower the OCC to effectively oversee, control, and respond to the dynamic needs of the MBTA's transit network.
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The purpose of the is study is the Integration of machine learning and genomics to predict outcomes for newly diagnosed, relapsed and refractory mature T-cell and NK-cell neoplasms: a global study of the PETAL Consortium.
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Connect the suction tubing from the surgical field to the cell-saver machine at the beginning of the case. Check anesthesia machine drawer for equipment; fill and turn off vaporizers when necessary; change soda lime when necessary; ensure proper connections; make sure the O2 and N2O tanks are full.
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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We are seeking a candidate with a background in bioinformatics, computational biology, biostatistics, or related field with experience analyzing large genomic and transcriptomic (bulk and single-cell) next-generation sequencing data, leveraging publicly available data from publication and repositories (GEO, TCGA, Ensemble, etc.
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The Boston Globe is looking to hire a skilled Windows Administrator to manage and maintain our Windows systems and Active Directory environment. Participate in data cleansing efforts including remediation of duplicate user ID’s, Directory Information Tree (DIT) redesign and modification recommendations, consolidation of Group Policy Objects, and implementation of access restrictions and auditing.
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Data quality surveillance of CRF and external/non-CRF clinical trial data (e.g. Biosample Lab Data, Biomarker Data, Imaging) in collaboration with other Clinical Operations roles, Medical Monitors, Translational Medicine, Clinical Pharmacology, Biostatistics, and other internal and external stakeholders.
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Represents GBS Data Governance in enterprise workgroups and data steward communities of practice. Serves as Data Steward as part of an Agile team dedicated to Claims Transaction data operations & initiatives.
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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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WorldStrides offers experiential learning programs in educational travel, performing arts, language immersion, career exploration, service-learning, study abroad, and sports. Our team is truly passionate about making each experience a once in a lifetime opportunity for each traveler that is easy to manage from A to Z. Each journey is different, which is why we offer a broad range of experiential learning programs for groups and individuals of all ages throughout their lifelong learning journey.
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Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud. Collaborate with cross-functional teams, including software developers, data scientists, and product managers, to develop and deploy machine learning models and applications.
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Advanced knowledge of analytic approaches including data wrangling, visualization, and machine learning preferred. The ADVANCE Office of Faculty Development office works in conjunction with the Office of Research Development (ORD), the Office of Diversity, Equity, and Inclusion (ODEI), the Center for Advancing Teaching and Learning Through Research (CATLR), and University Decision Support (UDS) to provide programs and trainings to further develop and support a thriving faculty.
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