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Bachelors degree (Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science) of science into data products by acting as the voice of Knowledgebase and interoperability/value of asset.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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PhD in computer science, computer engineering, information systems, Medical Informatics, Bioinformatics, life sciences or related discipline with 8+ years' data science experience.
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MS in Computer Science and 6 years as a Salesforce architect, OR. BS in Computer Science and 8 years as a Salesforce architect. Lead the Salesforce Development Team in the design and development of Salesforce custom solutions comprising of work in Apex, Visual Force, Salesforce APIs, Lightning, and data migration.
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The FAU College of Engineering and Computer Science offers degrees with a modern twist that bear specializations in areas of national priority such as AI, cybersecurity, internet-of-things, transportation and supply chain management, and data science.
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Doctorate (MD, PhD, VMD, or DDS) in computer science, computational biology, data science, bioinformatics, biomedical informatics, biostatistics, engineering, or a related quantitative field is required.
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Enrolled Agent - Professional Certification in Project Management (PMP) - Six Sigma Black Belt/Lean Black Belt/Master Black Belt - UX Certificate - Nielsen Norman Group - Agile Product Management - Alteryx Designer Advanced Certification - Chartered Financial Analyst - Masters - Business Administration, Economics, Finance, International Business, Tax, Computer Science, Information Science, Mathematics, Statistics, Science in Business Analytics (U.S. institution.
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Uses professional Computer Engineering principles in design work such as field inspections, reviewing contractors work, collecting and analyzing data, performing trend analysis, engineering testing, writing technical/management reports, root cause analysis, and recommending improvements to the design or operation of systems, equipment or processes as it relates to FAA Logistics Center (FAALC), Federal Aviation Administration (FAA) and Customs and Border Protection (CBP) projects.
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Strong experience in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in Python data science ecosystem (Numpy, SciPy, Pandas, etc.) PhD in Computer Science, Applied Mathematics, quantitative disciplines with strong focus in ML, or related field.
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At least nine semester hours of course work appropriate for a physical science major in any combination of three or more of the following: physical hydrology, statistics, chemistry, physical oceanography, physical climatology, radiative transfer, aeronomy, advanced thermodynamics, advanced electricity and magnetism, light and optics, and computer science.
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PhD in bioinformatics, computer science, computational biology, genomics, statistics, data science, or a related field with 8+ years of bioinformatics or related experience.
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BS Computer Science, Computer Engineering, Computer Information Systems, OR Computer Systems Engineering. Displaying superb understanding and be knowledgeable with a multitude of technologies to include; firewalls, web application firewalls, VPNs, DNS, Data Loss Prevention, IDS/IPS, and proxies, to name a few.
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You will also be implementing methods in cloud environments to a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position.
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Machine Learning Scientist II would have a degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically requires 4 years of related work experience.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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