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Job DescriptionAbout the Role:Bose Research is searching for an outstanding machine learning engineer working on efficient deep learning to join our research team. About YouA master’s degree or Ph. D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, artificial intelligence, or a closely related discipline.
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Hands on experience in analog, digital, mixed signal, high speed, high power, multilayer, flexi rigid PCB Layout design in a hierarchical schematic design environment. Our customers depend on us for intelligent and secure communications, missionized systems for specialized aircraft and spacecraft and collaborative space solutions.
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Qualifications Required: High school diploma or equivalent 2+ year of experience in machine shop setting including CNC programming and operation Fabrication / building experience working with hand and power tools Familiarity with basic PC office applications Preferred Certificate or higher in manufacturing technology or equivalent Proficiency with 3D CAD modeling software Additional Information Sponsorship: Indefinite U.S. work authorized individuals only.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Proactively problem solve, formulate problem statements and sets, derive them to manageable data collections and apply critical thinking to develop solutions.
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Stay current with emerging technologies in natural language processing (NLP), large language models, general and generative AI, and machine learning. Hands-on experience in designing and implementing conversational interfaces, chatbots, and virtual agents.
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The job: Provide customers with maintenance, repair, and installation assistance for CNC machine tools on-site or by telephone. They hope to find experience in electrical and mechanical troubleshooting and maintenance of CNC machine tools.
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Deep understanding of industrial drug discovery including understanding the role of AI, machine learning and other computational approaches at scale to transform drug discovery. Strong exposure (either professionally or through personal curiosity and independent study) to advanced computational approaches (including AI and machine learning) is required.
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Corrects vehicle deficiencies by removing, repairing, adjusting, overhauling, assembling, disassembling, and replacing major assemblies, sub-assemblies, components, parts, or systems, such as, power and drive trains, electrical, air conditioning, fuel, emission, brake, steering, hydraulics; completes machine shop operations; making adjustments and alignments including bearing loads, gear tooth contact, valve mechanisms, governors, oil systems, control linkages, clutches, and traction units.
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Strong relevant work experience and hands on experience with OSI PI.Direct experience with regulated environments (i.e. cGMP, OSHA, EPA). The Data Historian Engineer (OSI PI) III will design, architect, troubleshoot, and deliver future enhancements for data historian related systems.
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The Bose Global R&D Software team is looking for a hands on Software Systems Engineering Manager to both work as and lead a team systems engineers to perform systematic analysis, design and delivery of innovative technologies and experiences.
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50% utilization goal to deliver hands on work in Life Science engagements or other Oracle Cloud/EBS applications in ERP, SCM, HCM, PPM - either functional role or PM role. Able to work as Solution Architect with Oracle Cloud while coordinating with other functional leaders and build end to end integrated solutions across all Oracle pillars.
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Computational and hands-on experience with one or more modeling and simulation packages or programming languages (e.g., MATLAB, R, Julia, SimBiology, C/C. Experience in clinical pharmacology and its utility in drug development, including pharmacokinetics, pharmacodynamic and pharmacometrics approaches, and model-informed drug discovery & development.
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67-100% (C) ContinuouslyMachines, tools, and equipment utilized:Hamburg grinder, automatic wrapping machine, needle machine, cube machine, band saw, slicer, knives, needle machine, pressure washer, pallet jack, power jack, pricing gun, scale, and trash compactor.
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Hands on experience with molecular biology techniques, for example electrophoresis, enzymatic reactions, in vitro transcription, nucleic acid purifications Proficient in Microsoft Office, Excel, PowerPoint etc.
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Operates computer, printer, video display terminal, keyboard, calculator, telephone, copier, facsimile machine and all other standard office equipment requiring eye-hand coordination and finger dexterity.
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hands machine jobs Title: solutions architect Company: Databricks Inc in Sudbury, MA
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