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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data. A Ph. D. or equivalent in computational biology, bioinformatics, machine learning, or a related field is preferred.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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Expertise in machine learning techniques and their application to biological data. Proven experience with antimicrobial peptide design, including deep learning models. Description Job Responsibilities:We are seeking a highly motivated and experienced individual to help coordinate the computational core within the Machine Biology Group/de la Fuente Lab. As the Computational Core Scientist, the candidate will play a pivotal role in advancing our cutting-edge research at the intersection of computational biology and ground-truth experimentation.
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
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Develop and publish relevant bioinformatics methodologies, pipelines, and algorithms, and stay abreast of the latest advancements in bioinformatics, machine learning, and oncology research.
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Familiarity with Artificial Intelligence/ Machine Learning, Robotics Process Automation and Blockchain and their impact on the regulatory environment. Transaction tax engine experience (e.g., Vertex, Thomson Reuters, Avalara.
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Applicants with a relevant major (psychology, statistics, economics, computer science, biology, or neuroscience) will be given preference, and applicants with relevant long-term career goals (e.g. professor of statistics, entrepreneur in the machine learning industry, etc.
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Manager, Cyber Risk & Analysis (Machine Learning) Capital One's commitment to Machine Learning has sponsorship from leadership and the Enterprise ML Program is at the heart of this effort, and is leading the way towards building responsible and impactful tools, platforms, and solutions that leverage ML and Generative AI.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Posted Job Title Research Specialist D/Computational Scientist (Machine Biology Group) Job Profile Title Research Specialist D Job Description Summary We are seeking a highly motivated and experienced individual to help coordinate the computational core within the Machine Biology Group/de la Fuente Lab. As the Computational Core Scientist, the candidate will play a pivotal role in advancing our cutting-edge research at the intersection of computational biology and ground-truth experimentation.
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As a data scientist, you will develop predictive modeling / machine learning solutions to complex business problems and create value to the business. EducationThe candidate should have 2+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Bioinformatics, Physics, Mathematics or Engineering.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence.
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Data management, and implementation of machine learning techniques. We are a Fortune 200 company, 19,000 colleagues strong serving more than 10 million customers at six energy companiesAtlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (ComEd), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco.
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The ideal candidate will have an interest in biomedical research, be enthusiastic and highly motivated to participate in team science, have strong computing skills including coding in Matlab/Python/R, and experience in machine learning methods.
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FullBloom is actively seeking a highly skilled and experienced sales professional to join our team as a Solutions Engineer - EmpowerU for our Catapult Learning K-12 line of business. EmpowerU, a Catapult Learning service, provides evidence-based programs that improve motivation, resilience, and mental health.
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machine learning jobs Title: principal Company: Optello in Philadelphia, PA
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