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You have subject matter expertise and research in one or more of the following areas: Machine Learning, Deep Learning, Robotics (bonus), and have some familiarity with the state of the art in ML for autonomous driving and data utilization (bonus.
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Ph. D. in computational biology, bioinformatics, genomics, computer science or a related field. Demonstrated record of developing computational pipelines to analyze DNA high-throughput sequencing data and usage of common bioinformatics tools (e.g. bwa, BEDtools, GATK, IGV.
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Strong publication record in data science with applications to gene therapy. We are looking for a highly skilled Associate Director to join our dynamic Data Science team. Proficiency in experimental design, data processing, statistical analysis, and bioinformatics reporting of next-generation sequencing data.
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Execute existing standard analysis pipelines on Next Generation Sequencing (NGS) data using the AWS cloud platform. Familiarity with standard bioinformatic software tools for high-throughput sequencing data processing (e.g. STAR, bowtie, samtools, bedtools, or related software.
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Demonstrated expertise in Python and data science software tools. Design and implement custom bioinformatics data pipelines to analyze results from novel and established next-generation sequencing (NGS) assays.
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Whether you choose to focus on bedside care, a leadership or C-suite role, shape business and operational outcomes, or work to deliver clinical excellence behind the scenes in data science, case management or transfer centers.
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The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. Apply signal and data processing tools, including machine learning, to large data sets to develop novel algorithms.
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Have a Master's degree or PhD in Computer Engineering, Computer Science, Data Science, Systems Engineering, Mathematics, Statistics, Physics or another related technical degree. Have a Bachelor's degree in Computer Engineering, Computer Science, Data Science, Systems Engineering, Mathematics, Statistics, Physics or another related technical degree.
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As a member of our team, you'll help us build groundbreaking digital and RF circuits for the special operations and intelligence communities to address challenging national security problems and enable planning and decision making in domains as diverse as active threat deterrence, signal intelligence, cyber operations, machine learning, image processing, and applied data analytics.
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Referral services for child, elder and pet care, home and auto repair, event planning and more. Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more.
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Family support through fertility and family building benefits with Progyny and adoption assistance. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed medical transportation.
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We also provide General Surgery and Imaging & Diagnostic Services. Nursing Diploma or ASN required; BSN preferred. Free counseling services and resources for emotional, physical and financial wellbeing.
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HCA Florida Brandon Hospital is a 400 bed acute care hospital in Brandon, FL. We offer many services including a heart & vascular center, behavioral health center and a women’s center. We have a reflux center and a bariatric center.
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Must possess the ability to assess data reflective of the patients’ nutritional status and interpret the information needed to identify each patients’ requirements/needs relative to his or her age specific needs including adults and elderly/geriatric adult.
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Education: Minimum of 10 years technical experience and an MS or PhD in a physical science. Strong background in manufacturing systems, data collection and statistical analysis. Candidates should be data driven decision makers.
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