444 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "UNIV" "UNIV" PhD research jobs
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potential collaboration partners, conduct interviews, and take part in analysing data and writing articles. The duties of the post: Liaise with community partners Collecting and coding materials through
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, education, and clinical activities are conducted with the goal of improving quality of life for individuals affected by challenges in speech, language and hearing across the life span (https
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this title/rank can be found at https://hr.uw.edu/benefits/benefits-orientation/benefit-summary-pdfs/ . Appointees solely employed and paid directly by a non-UW entity are not UW employees and are not eligible
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: Comprehensive personalised Assessment, early Risk Evaluation and clinical management” (HER-CARE) project. The successful applicant will work on the project “Assessing the role of rare germline non-coding genetic
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privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https
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and Experience Strong statistical analysis and data handling skills Understanding of data structures, data modelling and data management Ability to write robust, reproducible code in Python or R
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Title: Non-Student Research Assistant Employee Classification: Non-Pos Hourly Posting Code Campus: University of North Texas Division: UNT-Provost SubDivision-Department: UNT-College of Information
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 11 days ago
Job Code: Tü_110 Job Offer from March 06, 2026 The Optics and Sensing Laboratory at the Max Planck Institute for Intelligent Systems in Tübingen has an open position for a Researcher to join the
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stimulating work environment that promotes individual creativity and effective teamwork with a clear focus on quality output. More in-formation about the group is available at http://pur.wzw.tum.de
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preparation for mass spectrometry analysis in the laboratory Learning of data analysis methods and code to understand mass spectrometry data Present your data at lab meetings and (inter-)national meetings