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for a full-time, on-site PhD position in machine learning, forecasting and time series analysis. Reykjavik University, Department of Engineering. Duration: 3 years. Start date: Negotiable. Reykjavik
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 15 days ago
@tecnico.ulisboa.pt Requirements Research FieldEngineering » Civil engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Admission Requirements: To be enrolled at a PhD. Additional Information
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methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular presentation
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on similar topics, especially in the analysis of their data Develop novel projects Generate ideas and data to support new project applications Contribute to the writing of research grants/fellowships in
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23 Mar 2026 Job Information Organisation/Company Universidade da Madeira Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 8 Apr 2026
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engineeringYears of Research Experience1 - 4 Additional Information Benefits https://www.bip.pw.edu.pl/Praca-w-Politechnice/Pracuj-z-nami-w-PW/Catal… Eligibility criteria A person employed as an Assistant Professor
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innovative Non-Destructive Testing (NDT) with advanced structural modeling. As a PhD candidate, you will bridge the gap between experimental NDT and structural safety analysis. Your work will involve: NDT
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) Positions PhD Positions Application Deadline 22 Apr 2026 - 16:00 (Europe/Dublin) Country Ireland Type of Contract Other Type of Contract Extra Information N/A 4-year PhD scholarship Job Status Full-time Hours
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data analysis is a plus but not required. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance
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conducting advanced quantitative data analysis, using SPSS and/or Stata Ability to develop a high-quality publication record that is REF returnable To be successful at shortlisting stage, please ensure you