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The Data Science Team within Asset Management Technology, Quant Research and Development, is seeking a highly motivated and technically proficient data scientist who is passionate about applying advanced technologies in investment management domain.
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As a member of the Clinical Data Science Leadership Team, the Executive Director, Data Science is accountable for Development’s machine learning and artificial intelligence strategy, overseeing the expansion of the industry-leading Advanced Analytics organization to address the growing opportunity for value generation through the application of AI/ML, including large language models (LLMs), across Development.
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The Department of Data Science (DS) at New Jersey Institute of Technology (NJIT) seeks candidates to fill Adjunct Professor positions. Adjunct Instructor - Data Science. Successful candidates must have an MS degree in Data Science or Computer Science or a closely related area (a PhD degree is preferred.
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VP, Data Science RWE | Top 5 Pharma. Build QSP models integrating biological, pharmacological, and physiological data to support drug development at all stages, from preclinical research to clinical trials and beyond, aiding in dose optimization, biomarker identification, safety and efficacy assessment, drug development decision-making, etc.
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PhD in a relevant field (e.g., biology, math, pharmacology, biomedical engineering, chemical engineering, computation biology, computer science, etc.) While part of their computational biology team, you will create your own methods and pipelines, prominently contributing to their shift towards more data-driven research and development.
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We also offer Master's degree programs in Computer Science, in Bioinformatics, in Data Science (jointly with Dept. of Math/Stat), and in Computational Linguistics (jointly with LLD, expected to begin in Fall 2024.
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer. Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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Bachelor's or Master's Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience.
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The Sr. Enterprise AI Strategy Advisor ( Sr. Project Engineer - Computer Engineering - Data Science/Big Data Mining and Artificial Intelligence ) will execute Space Systems Architect Division mission by leveraging the Aerospace program office and engineering technology group backplane to collaboratively develop and assist in execution of SSC's Enterprise AI Strategy and Implementation plans aligned to both the DoD and AI Strategy documents.
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A bachelor's degree in ecology, botany, forestry, or other natural science. Experience with Trimble GPS units, ArcGIS, and/or other ESRI data collection software. 25% Mitigation monitoring, focusing on collecting detailed tabular and geospatial data on restored vegetation communities as well as occasional in-stream monitoring work and groundwater well data collection in our restored wetlands.
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What You Need to be Successful - (Sr. Project Engineer - Computer Engineering - Data Science/Big Data Mining and Artificial Intelligence) Masters or PhD degree in Systems Engineering, Artificial Intelligence, Data Science, Statistics or Machine Learning.
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The Department of Geology and Environmental Science at the University of Pittsburgh applications for a Research Assistant Professor position focused on planetary science, remote sensing, and volcanological modeling.
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Our passionate, global workforce augments local expertise and diverse mix of skills with data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people and providers to improve treatment outcomes.
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Acquires and maintains a level of medical-scientific knowledge in endocrinology and/or rare disease involving clinical issues related to company’s products; able to interpret and disseminate pertinent scientific/clinical data and evaluates current and new information as it applies to company’s therapies.
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data science jobs Company: Vector Marketing in DC, Australia
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