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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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This role will coordinate with our hardware team to improve data collection from our novel spectral soil probe for building machine learning models, will partner with our soil science team to collect and analyze soil and geospatial data sets, and will collaborate with our business development team to accurately and effectively communicate soil carbon results to our customers.
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Data science, machine learning, optimization models, PhD 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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The Senior Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, patient advocacy groups, and formulary decision-makers) in the assigned Therapeutic Areas (TAs)-Respiratory (COPD/Asthma) across the aligned geography.
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By synthesizing expertise in bottom-up Molecular Design, Computational Mechanics, and Electrical Engineering, Thintronics is unifying and optimizing the high-speed interconnect insulator, from silicon-to-system, enabling the highest data rates at the lowest power.
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Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, AI applied to chemistry or material science, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
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Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-timeA Senior Governance Engineer is a leading technical contributor who can consistently take a loosely defined business or technical requirement, architect and build it to a well-defined specification, and execute on it at a high level.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomics & Mass Spectrometry), Infectious Disease , and Quantitative Cell Science.
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Expert level knowledge and proficiency in materials science and analysis by X-ray techniques, including single crystal diffraction and X-ray tomography. Expert in data collection and analysis/interpretation, measurement & analysis automation/scripting (e.g. LabVIEW, Python) as well as presentation of experimental findings, DOE, SPC.
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CZ Biohub SF itself supports some of the brightest, boldest engineers, data scientists, and biomedical researchers to investigate the fundamental mechanisms underlying disease and develop new technologies that will lead to actionable diagnostics and effective therapies.
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Saildrone works with governments, civil agencies, foundations, universities, and private companies around the globe to drive better information about our oceans and seas—from sailing into the eye of a category 4 hurricane to obtain new data about how storms intensify, collecting new CO2 data in hard-to-reach areas, and counting fish biomass to inform sustainable fishery management, to mapping the ocean floor and reducing illegal fishing and drug trafficking.
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Additionally, the candidate would bring expertise in Data Science, Machine Learning, and Artificial Intelligence to propel our technology innovation in CRISPR gene editing, drug delivery, and genomics sciences.
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The Data Engineering team collaborates closely with product, data science and machine learning teams to design, build, and scale high leverage datasets that enable analytics, and experimentation.
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As part of the Capgemini Invent team, the Data Science Senior Manager will support our business by performing strategic and tactical analyses to derive insights, trends, conclusions, and actionable recommendations leveraging various data sources such as longitudinal clinical and claims, healthcare provider interaction, social determinants of health (SDOH), wearables/IoT data, weather, and other exogenous data sources.
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data science jobs Title: senior manager Company: Guidehouse in Oakland, CA
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