46 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs in Worldwide
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Engineering. Major Responsibilities The successful candidates will be expected to: Deliver exceptional education, both independently and collaboratively, for undergraduate and postgraduate courses; Achieve
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recruited within the AI4Science Group at the Department of Computer Science, Faculty of Science, Technology and Medicine. The ECI PhD candidate will perform prioritized Non-Targeted Analysis across diverse
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their passion and determination? We are currently seeking a/an University assistant predoctoral 53 Faculty of Earth Sciences, Geography and Astronomy Startdate: 01.04.2026 | Working hours: 30 | Collective
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part of a quality assurance program. Assist in the development and evaluation of new procedures. Prepare and verify the quality of reagents, standards, and control samples. Calibrate, troubleshoot
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
Job Description The Image Quantification and Artificial Intelligence (IQAI) Collaboratory is the technical engine of the Intelligent Imaging Informatics (I3) Section within the Department
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, responsibilities, skills, or abilities required for the role. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation
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, Registration and/or Certification Required by SJCRH Only: ServSafe Food Handler Training Certificate Program or another American National Standards Institute (ANSI) accredited Food Handler Training Certificate
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methods. and have demonstrable expertise and teaching experiences in one of the following areas, including but not limited to: Carbon Neutrality and Climate Change / Financial Technology / Innovation
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at all levels, including those in our DDS/PhD program. The candidate will collaborate closely with the Data Science Institute. A successful candidate will have demonstrated evidence of scholarly impact
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cloud computing environments Familiarity with genomic databases and resources such as UCSC Genome Browser, gnomAD, and NCBI. Solid foundation in applied biostatistics and statistical interpretation