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Description :Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
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Leadership experience on a project team Problem solving skills including root cause investigation, failure analysis, and DOE Experience using Siemens NX Experience working on cutting-edge autonomous robotic systems Proven background in thriving within fast-paced environments, particularly within startup or R&D settings Demonstrated adaptability, agility, and the ability to innovate under pressure to meet dynamic project demands and drive successful outcomes.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Computer Science, Computer Engineering, Software Engineering, Information Technology, Information Systems, Computer Information Systems, Management Information Systems, Cybersecurity, Network Administration, Information Assurance, Data Analytics, Cloud Administration.
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Job Summary:This position will work with cutting edge technology, deliver high quality solutions across various industries, and collaborate with teams on engagements that range in size and scope.
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Data entry, data review, and GPS use. REQUIREMENTS:BS/BA degree in natural science field of study required. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography.
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Undergraduate degree in electrical engineering, computer science, computer engineering, materials science, physics, or an equivalent degree. The preferred candidate will have an undergraduate degree in electrical engineering, computer science, computer engineering, materials science, physics, or an equivalent degree.
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At least 5 years’ experience performing Electrical engineering design for Industrial facilities (which could include Chemical plants, Mining/Mineral Processing, Power, Water/Wastewater, Processing plants, Advanced manufacturing plants, data centers, EV Battery.
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Skills: reference data management,system queries,powerapps,business requirements,azure adf,cloud,survivorship rules,enterprise,data quality management,verbal communication skills,powerbi,azure,master data management,data management,data validation,microsoft cloud tools,written communication skills,azure profisee,master data,mdm,azure databricks,management,communication.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Support vendor risk management and DPIA programs to ensure third parties comply with the Firm’s privacy and data protection requirements. This role requires Data Loss Prevention (DLP) program experience, including conducting investigations related to data loss, data exfiltration, or unauthorized access or use of data, or experience using eDiscovery solutions or similar technology.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Bachelor of Science degree from an accredited college/university with a major in biological, chemical, physical, or clinical laboratory science AND at least two years' experience in a role equivalent to that of a Medical Laboratory Technician (MLT) in a clinical laboratory.
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We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. You should have in-depth experience in the U.S. Department of Housing and Urban Development’s (HUD) Community Development Block Grant (CDBG) and Community Development Block Grant – Disaster Recovery (CDBG-DR) programs as well as other applicable Federal disaster recovery cross-cutting regulations.
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The Green Center for Reproductive Biology SciencesThe Green Center for Reproductive Biology Sciences at UT Southwestern mission is to promote and support cutting-edge, integrative, and collaborative basic research in female reproductive biology, with a focus on signaling, gene regulation, and genome function.
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data science cutting edge jobs Company: Cognitus Consulting Llc in Dallas, AR, Australia
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