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Information Systems and Technologies, Data Science, Information Management or Computer Engineering; Solid programming knowledge, particularly in Python and Bash scripting; Knowledge and practical experience
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23 Sep 2025 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Electrical engineering Engineering » Computer engineering Engineering » Other
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23 Sep 2025 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Electrical engineering Engineering » Computer engineering Researcher Profile
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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | 2 months ago
contained in job application will be processed for the purposes of the current recruitment process, and – if the consent is given – for the purposes of future recruitment. We kindly inform you about your
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applications in the Office of Scholarships for the Bloomington Campus. Defines specifications, establishes data groups and tables, establishes, modifies, and documents electronic workflows/business process, and
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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reason and for reasons of interest of the institution, by means of a duly reasoned act, this selection process may be terminated until before notification of the selection minutes to the applicants, within
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Grant within the framework of project “RENURE – Integrated and circular process for the recovery of nutrients and removal of micropollutants from waste water”, with nr. 21336 and operation code
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applications for a Research Initiation Grant within the framework of the project “RENURE – Integrated and circular process for the recovery of nutrients and removal of micropollutants from waste water”, with nr
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clinical data and machine learning algorithms. The main activities include: Data Processing: • Collection of historical patient data (demographics, clinical history, outcomes of interventions). Data cleaning