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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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Qualified candidates will have experience working with HAAS machines, Drill Press, Milling Machines, and lathes. Experience working on HAAS machines and expertise in various aspects of precision machining.
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Minimum of 3 years' experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.) + Digital Factory Strategy - Industry 4.0, IoT platform, artificial intelligence, machine learning, prescriptive maintenance, connected devices, connected workers, blockchain, etc.
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We welcome candidates from all areas of computational genomics employing a spectrum of methodologies, spanning from computational biology to statistical genetics to machine learning and artificial intelligence.
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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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Job Requirements: BS in Mechanical Engineering; Metal fabrication experience; understanding of welding, machining, and metal forming. Desired experience: AutoCAD; Piping; ASME Pressure Vessel design; Shell and Tube Heat Exchangers; Finite Element Analysis (FEA.
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Applying expertise in multiple modeling methodologies including survival analysis, transition rate modeling, time series analysis, credit scoring, Monte Carlo simulation, Artificial Intelligence/Machine Learning techniques such as neural networks and tree based algorithms etc.
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Uses shrink-wrap machine, paper cutter, hole driller, bindery equipment, jogger, tape machine, stackers, electric stapler and scales in completion of various jobs contracted. Uses all copier equipment, calculator, fax machine, postage meter and some PC. Performs filing duties, which may include ‘purging’ and archiving old documents.
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Expertise in multiple modeling methodologies including survival analysis, transition rate modeling, time series analysis, credit scoring, Monte Carlo simulation, Artificial Intelligence/Machine Learning techniques such as neural networks and tree based algorithms etc.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
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Stays on top of Duck Creek Technology platform and other approved underwriting platforms as well as industry trends including Digital Transformation, InsureTech, AI/Machine Learning etc Location:Core teams are primarily located in Whitehouse Station, NJ which is the preferred site of employment, however other office locations and remote employment options are also acceptable.
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Associate Professor - Tenure - Artificial Intelligence (AI) and Machine Learning (ML) applications to Epilepsy and Traumatic Brain Injury Location: Philadelphia, PA Open Date: Feb 8, 2024 Close Date: Feb 8, 2026 Description: The Department of Neurology at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for an Associate Professor position in the tenure track.
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The reactor operator will also assist human factors engineering (HFE) and human-machine interface (HMIs) teams with the development of the plant and engineering simulators. The position is offered by SMR LLC as a member of the Holtec International family, a global turnkey supplier of equipment and systems for nuclear, solar, geothermal, and fossil power generation sectors of the energy industry.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Understanding of CNC machine operation, programming, and tooling. Leader in precision machining and manufacturing, renowned for their commitment to quality, innovation, and customer satisfaction.
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milling machine machining jobs in Philadelphia, PA
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