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The candidate for this position should have hands-on experience in molecular biology, genomics, and cellular assay development; excellent organization, problem-solving, interpersonal, and collaboration skills; experience building or managing teams; outstanding verbal and written communication abilities; ability to adapt to and effectively manage changes in a fast paced and dynamic environment; and have a passion for science and sense of urgency to find new medicines to benefit patients.
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Bachelor’s degree in Engineering or closely related field; Must have demonstrable experience with Microsoft Word and Excel; A minimum of five years of industry experience; Ability to operate a computer to post syllabus, grades, and attendance.
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This role is perfect for a seasoned Mechanical Engineer who is passionate about problem-solving and enjoys the challenges of a fast-paced manufacturing environment. Excellent problem-solving abilities and a keen eye for detail.
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Bachelor’s degree or Master’s degree in User Experience Research, Human Factors, Cognitive Psychology, Anthropology, Sociology, HCI/Computer Science, or other related fields. Portfolio demonstrating breadth and depth in UX research, conceptual thinking, creative problem solving, and deliverables (e.g. study plans, reports, and data visualization.
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The Department of Computer Science in the College of Engineering at UC Davis, invites applications for a pool of qualified temporary instructors to teach a course in Hacking 4 Climate: business models for addressing climate challenges.
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Helps students to increase their STEM skills and college readiness proficiency such as problem-solving and critical thinking abilities. Assists students in STEM problem solving and critical thinking during class time, recitation, and tutoring.
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Master's degree in computer science, computer information systems, computer information technology, computer engineering, or computer-based information systems or related field(s.
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Lecturer, Computer Science - Stamford Campus Search #: 496521 Work type: Full-time Location: Stamford Campus Categories: Faculty Lecturer INTRODUCTION The Department of Computer Science and Engineering at the University of Connecticut invites applications for a non-tenure-track position at the rank of Lecturer at the Stamford campus.
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Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.
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The Department of Computer Science & Engineering at the University of Connecticut invites applications for a non-tenure track position at the rank of Lecturer at the Storrs campus. Expertise in several areas of computer science such as introduction to programming, data structures and algorithms, basic cyber-security, architecture, and system programming.
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Analytical Thinking, Biochemistry, Bioprocess Design, Collaboration, Communication, Creativity and Innovation, Curiosity, Experimental Design, Fermentation processes, Group Problem Solving, Plant Genetics, Plant Physiology, Presenting, Process Safety Engineering, Research and development, Science and Technology Leadership, Synthetic Biology, Thought Leadership.
$211,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Must be able to read and understand coax and fiber design printsStrong computer skills with emphasis on applications are requiredAbility to meet deadlines and work with others in a Team environmentYou enjoy problem-solving and like to troubleshoot problems as they ariseHard work pays off.
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Responsibilities include teaching undergraduate and graduate computer science and data science courses; implementing inclusive and evidence-based teaching and learning approaches to ensure the academic success of a diverse population of students; advising senior capstone projects; collaborating with faculty to enhance curriculum; providing academic advising; participating in university service activities; and actively engaging in university diversity, equity and inclusion initiatives.
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QUALIFICATIONS: Minimum education and experience required: Master's degree in Electrical Engineering, Computer Science, Physics, Mathematics, or related quantitative field of study plus 5 years of experience in the job offered or as Predictive Science, Applied AI ML Lead, AI Engineering, Machine Learning Engineer, Project Engineer, Data Scientist, or related occupation.
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Successful candidates will demonstrate expertise in planning, traceability, and problem-solving within the National System of Geospatial-intelligence (NSG) and Allied System of Geospatial-intelligence (ASG) environments.
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fast paced problem solving computer science jobs Company: Metasys Technologies in Enfield, Connecticut
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