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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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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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Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
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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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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VP, Data Science RWE | Top 5 Pharma. PhD in a relevant field (e.g., biology, math, pharmacology, biomedical engineering, chemical engineering, computation biology, computer science, etc.
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Growth & Innovation team leverages data, algorithms and analytics to optimize and automate all things related Walmart eCommerce - merchandising operations, site content, search etc. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
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Masters degree in Computer Science, Physics, Mathematics, Statistics, Data Science or related technical discipline. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.
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We are responsible for driving organic traffic that represents billions of dollars worth of goods and services bought on eBay. We are looking for an experienced Data Analyst to join the Buyer Taxonomy and Site Navigation team to assess the opportunity and measure the impact of projects related to changing the browse navigation experience on eBay. Your focus will be supporting various product launches to measure the impact on customer behavior and SEO (search engine optimization.
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Learn and implement best practices for building website content, incorporating search engine optimization tactics as appropriate. The Science Writer II will be able to draw on their existing technical experience and photonics knowledge to engage in meaningful conversations with engineering teams to gain an understanding of new product additions and how they fit into our existing portfolio; propose and plan changes to Thorlabs' website to support the new additions; and successfully execute their plans to produce high-quality web presentations requiring minimal feedback.
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Develop a variety of algorithms for planning for autonomous driving, including but not limited to search-based methods, sampling-based methods, optimization-based methods, linear-temporal logic, and decision-making under uncertainty.
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Lead and develop a variety of algorithms for planning for autonomous driving, including but not limited to search-based methods, sampling-based methods, optimization-based methods, linear-temporal logic, and decision-making under uncertainty.
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An advanced degree (Undergrad, M.S. or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or 10 + years of proven experience crafting optimization and machine learning solutions for large scale applications.
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Great understanding of Search Engine Optimization (SEO) and Pay Per Click (PPC). Qualifications for the Shopify Website Manager A degree in web development, computer science, or related qualification.
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You have experience in one or more of the following : - recommender systems, predictive modeling, reinforcement learning (e.g., multi-armed bandits), personalized search, computational optimization, natural language processing, deep learning, causal inference especially as applied to e-commerce/marketplaces/email marketing.
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The search is for candidates at the interface of data science/machine learning and industrial engineering, operations research, and management science, including optimization, statistical learning, computational social science, healthcare, logistics, and operations.
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