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Applicants should possess a PhD in a relevant discipline (computer science, machine learning, epidemiology, electrical engineering, or applied mathematics) and have established an excellent research profile in signal processing or machine learning.
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PhD in Physics, Chemistry, Materials Science, Computer Science, Applied Mathematics or related fields by the time the appointment begins. Qualifications: Experience with developing efficient numerical algorithms and modifying electronic structure DFT or quantum chemistry software (e.g. Quantum Espresso, PySCF, GPAW), fluency with electronic structure theory and quantum chemistry, experience with machine learning regression methods.
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Education: PhD, MD, or equivalent in data science, computational biology, bioinformatics, computer science, or a related field. The co-founders are currently on the lookout for a VP of Data Science (with potential for the position to be moved to C-suite level, along with co-founder status) with extensive experience working with genomics data and a proven track record on building high-performing data-driven teams in a start-up environment.
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The successful candidate will be pursuing an undergraduate degree in Electrical Engineering, Computer Science, Mathematics, Physics or a related field with hands-on experience in one or more of the following areas: software development, graphical user interface development, real time software, MATLAB or C.
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Utilize and apply SMT machine performance criteria; this could include component attrition, nozzle data, feeder data and vision error information and use this information to drive improvements within the machine performance.
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Bachelor's degree in Computer Science, or other Science, Technology, Engineering, Mathematics related field; Requires minimum of 5 years in a CGMP-related industry with at least three (3) to four (4) years of Computer System Validation experience working with cGMP pharmaceutical /nutraceutical regulated industries and 21 CFR Part 11 compliance (world CSV regulations.
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REQUIRED : Ph. D. in civil engineering, urban planning, computer science, operation research, industrial engineering, or a related field by the start of the appointment; experience with transportation systems, spatial and network analysis, optimization, machine learning, statistics, econometrics, large-scale datasets, and cloud computing; record of research that can shape the future of urban transportation and mobility; and strong publication record and communication skills.
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Process and analyze large datasets leveraging state-of-the-art computer vision and machine learning techniques. Demonstrated expertise in computer vision and/or machine learning applications.
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PhD. in Molecular Biology, Biochemistry, Virology, Immunology or a related field, with a strong background in protein science or biotechnology. Stay abreast of the latest scientific advances in life science, proteomics and drug delivery and apply cutting-edge techniques and methodologies in your research.
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PhD degree + 2 years of experience or Master's degree + 5 years of experience in Computational Biology, Bioinformatics, Computer Science, or a related field. The ideal candidate will have a strong foundation in theoretical leading-edge machine learning techniques with a proven track record of developing advanced algorithms that can transform complex data into actionable insights.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
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A Bachelor's degree in Computer Science, or a related field is required. Lead the engineering team in designing, developing, and deploying solutions applying modern web frameworks, machine learning solutions, data engineering technologies, microservices, and cloud-native architecture.
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A Ph. D. in engineering, computer science, cognitive science, psychology, or related areas. Additional experience in psychophysics, cognitive science, or neuroscience is a great asset, and practical skills like CAD modeling and 3D printing are also valuable.
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Bachelor's degree in Biology, Chemistry, Clinical Laboratory Science, Medical Technology or meet local regulatory (CLIA & State) requirements. Responsibilities are interchangeable within job titles of medical laboratory scientist (MLS), medical technologist or clinical laboratory scientist.
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The Machining Manager is responsible for overseeing all machine shop personnel, and working to meet the company's expectations for safety, adherence to quality standards, and ensuring parts are manufactured according to the requirements of the production schedule cost-effectively.
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machine computer science jobs Title: data scientist Company: Recru in Cambridge, MA
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