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PhD in computer science, applied mathematics, physics, computational biology or other quantitative disciplines. The ideal candidate has a machine learning background, with previous experience building large-scale generative models, complex pre-processing pipelines, and comprehensive benchmarks to support scientific tasks.
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Job Description MIT Lincoln Laboratory seeks a highly motivated, detail-oriented, curious and driven physicist, applied physicist, or researcher in a related field with hands-on lab experience.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. San Francisco, California (Hybrid On-Site): $243,700 - $278,100 for Applied Researcher I.
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Solid foundation in finite element analysis, solid mechanics, and applied mathematics. Required Qualifications: PhD in Mechanical Engineering, Electrical Engineering, Ocean Engineering, Applied Mathematics, or Applied Physics (minimum.
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PhD in Biochemistry, Analytical Chemistry or related scientific discipline and 2+ years of hands-on experience or BSc/MSc with 7+ years of relevant industry experience is required. Strong hands-on experience working with analytical protein characterization techniques (UV, SDS-PAGE, cIEF, etc.
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Responsibilities: Technical Leadership: Lead by example, contributing hands-on expertise in Python, Airflow, Snowflake, and AWS to develop scalable and efficient solutions. Job Title: Hands-On Engineering Manager Location: Newton, MA About Us: My client is a rapidly growing eCommerce beverage distribution company that achieved $200 million in revenue last They are at the forefront of revolutionizing the beverage industry by providing exceptional service and innovative solutions.
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Hands-on experience in handling, processing, integrating, and analyzing large heterogenous biological data sets related to industrial drug discovery research (e.g., sc/snRNAseq, ATAC-seq, genomics, proteomics, etc.
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This individual will apply their skills in machine learning, image processing, computer vision, mathematics, optics, and software engineering to develop algorithms to be integrated into onto’s innovative inspection platforms.
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Experience with: multivariate statistics, (e.g., machine learning, multiple regression, structural equation modeling, trend analyses) program evaluation, survey research, data acquisition and organization for the purposes of building statistical models.
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Bachelor’s, Master’s or PhD in Electrical Engineering, Aerospace Engineering, Applied Mathematics, Physics, Radar Systems, or related technical field. You will collaborate with fellow researchers and engineers on multi-disciplinary teams spread across multiple STR campuses, groups, divisions, and with industry partners to interpret and understand customer objectives and develop innovative solutions to complex and challenging national security problems.
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Work at the intersection of experimental and groundbreaking digital technologies, with a particular emphasis on expertise in machine learning and artificial intelligence (AI) as applied to small molecule drug discovery.
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4+ years of hands-on machine shop or related education/ training and combination manufacturing experience preferred. Reporting to the Machine Shop Manager, the CNC Machine Operator plays a pivotal role in the manufacturing environment by ensuring CNC machines are inspected, programmed, and function properly.
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Expertise and hands-on experience in operating and maintaining analytical instruments including but not limited to GC, FTIR, UV-Vis, DSC, TGA, SEM, XPS, Raman, IC, 1H-NMR, and 19F-NMR. SES has an opening for an Analytical Scientist, who is passionate about mobile energy storage and is an expert on Material characterization.
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Hands on design/build experience is desired; UAV or R/C aircraft or other lightweight miniature robotic systems. Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems.
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5+ years prior experience in B2B capital equipment sales with ASP of $500k to $2M (machine tool, industrial printers, or other heavy equipment.) Our solutions span use cases across the product life cycle, from product development to mass production and aftermarket operations, and they address an array of industries, including automotive, aerospace, healthcare, consumer products, heavy industry, machine design and research and development.
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machine applied mathematics hands on jobs Company: Birlasoft in Lexington, MA
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