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, biology, neuroscience and quantum computing. The selected candidates will work closely with a group of computer scientists, domain scientists, and AI experts in developing software and leveraging large
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(e.g., Python, MATLAB), statistical programming languages (e.g., R, SPSS, SAS), and/or stimulus presentation software (e.g., Psychtoolbox, Presentation, ExperimentBuilder, PsychoPy) is desired. 5
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(ZIM) at the University of Potsdam invites applications for the following 3-year fixed-term position, to be filled as soon as possible: AI Software Engineer (f/m/d) with Focus on Administrative AI
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 days ago
into the eMob-Twin software platform (emob-twin.fr), enabling the simulation and evaluation of scenarios related to charging infrastructure planning, grid integration, and vehicle-to-grid (V2G) services
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
Permanent Staff (EHRA NF) Working Title IT Analyst/Programmer - 2 (Haendel) Appointment Type EHRA Non-Faculty Position Number 20065940 Vacancy ID NF0009590 Full Time/Part Time Full-Time Permanent FTE 1 Hours
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higher education. Equipment Personal computer, word processing, spreadsheet, and database software. Standard office machines. Working Conditions Needs to be able to successfully perform all required duties
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programs, and services. Auditing of meal plans and debit programs to maintain highest level of data integrity. The MCO maintains and supports dining/photo ID/meal plan billing software and equipment
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Capital Programs / CP Job Summary Responsible for providing technical expertise for the financial closeout process of capital projects in the owner's project management software. Responsible
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designing scalable, reusable data science infrastructure, methodologies, software, and tools. These reusable assets form the foundation for the systematic and sustainable application of data science across UC
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and running statistical descriptives utilizing statistical software • Interpret, synthesize and analyze data including possible transcription and data coding • Schedule, organize and report on status