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The HRIS Analyst will be responsible for supporting our HRIS (Workday) to ensure data accuracy, system integrity, and optimal functionality. Conduct regular audits and assessments of HR data to ensure compliance with policies, regulations, and data security standards.
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Bachelor’s degree in Geology, Hydrogeology, Environmental Science, Engineering or other related discipline (e.g., geophysics, geochemistry, environmental geology, engineering geology) + 4 years of relevant experience or demonstrated equivalency of experience and/or education.
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Responsible for Radar Receiver Exciter data analysis and calibration, integration of hardware with firmware and software, and resolving system level issues that may stem from software or hardware anomalies.
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PhD degree in Electrochemistry, Materials Science, Chemical Engineering, or related technical fields. Strong background in electrochemistry, rechargeable battery chemistry including Li-ion, Na-ion, and solid-sate batteries, and energy storage systems.
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One project area is to develop and use BioNet workflows to underpin systematic approaches in biosensor science. Hands-on knowledge of Synthetic Biology development tools, including laboratory procedures, experimental processes, analytical techniques, data processing methods, and design tools.
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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. Ability to build and articulate best practices library for ERP, SCM, HCM, PPM within life science industry.
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Early exposure and experience to STEAM topics through participation in STEAM after-school programs is an excellent way to promote an increased interest, persistence, and identity in STEAM. According to The Commonwealth Corporation's 2021 STEM Brief, STEAM occupations include computer and math, architecture and engineering, healthcare, and life and physical science occupations.
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Comfortable with lab automation via python (minimum able to code with python and willing to aggressively learn to control the equipment)Comfortable with data analysis/plotting tools such as Minitab, JMP, python/matplotlib, etc.
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Establish traceability between data in Cameo and Enovia, including the use of appropriate middleware as needed. The Aerospace Management Systems Division programs, develops, delivers, and sustains air traffic management, CNS/ATM avionics expertise, and weather sensing/forecast capabilities enabling military, civil, and allied and foreign military sales customers to achieve their mission.
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Position Description:The Department of Biomedical & Nutritional Sciences (BNS), part of the Zuckerberg College of Health Sciences (ZCHS) at the University of Massachusetts Lowell (UML), is seeking part-time Adjunct Instructors to teach in the undergraduate Applied Biomedical Sciences (ABS) program, which includes a NAACLS-accredited Medical Laboratory Science (MLS) program.
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You have a zeal for engineering principles, applied science, mathematics, analytical thinking, and experimentation, and you are dedicated to turning inventive ideas into innovative products. We have a passion for science and design, we are innately curious, and we are steadfastly committed to intellectual honesty and integrity.
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Skills & Competencies Strong technical knowledge of engineering and/or data analysis of food science, sensory science, and ingredient functionality/handling. PhD/Masters/Bachelor of Science/Engineering degree in relevant scientific field of study.
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The Robotics and Anti-Tamper group focuses on several program areas including strategic areas: robotics, artificial intelligence and machine learning; communications systems; guidance, navigation, control and environmental monitoring systems; projectile monitoring\/certification systems; and sensor data fusion.
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Extensive knowledge in IT infrastructure (data center, network, servers, virtualization, VDI, storage, containers), cloud and AI platforms, programmable infrastructure IaC, SRE practices and DevOps practices across business domains, and architecture design methodologies.
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Demonstrated experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing.
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data science jobs Company: Zoom in Chelmsford, MA
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