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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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of the team Extensive and excellent training for cryo-EM Dedicated new cell culture facility for adherent or suspension culture of mammalian cells State of the art systems for purification and analysis
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the development of reformulation or relaxation techniques. Problem and Objective of the thesis This project proposes to address the issue of efficient analysis and synthesis of interconnected heterogeneous systems
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6th April 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Trustworthy AI-Enabled Signal Analysis for Next-Generation Wireless Systems
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Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision-making. Your tasks in detail: Investigate the impacts of future transformation pathways on the...
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Digital. The research focuses on advanced signal analysis and machine learning methods that enable robust operation and service continuity in future wireless networks under challenging radio conditions. As
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Posting Title Researcher II/III: EMT Modeling, Simulation and Analysis for Large-Scale Power Systems . Location CO - Golden . Position Type Regular . Hours Per Week 40 . Working at NREL The National
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23 Jan 2026 Job Information Organisation/Company Leiden University Research Field Computer science » Programming Computer science » 3 D modelling Researcher Profile First Stage Researcher (R1) Application Deadline 20 Feb 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job...
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to understand and develop a practical, method‑by‑method guideline that support statisticians in the design and analysis choices of SMART trial. This includes: Approaches to sample size calculation and design
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transient stability analysis frameworks for GFM wind turbine generators under grid faults. This poses the following key research questions: How can large-signal models of GFM wind turbine generators be