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Field
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presenting technical work at scientific conferences Required Qualifications: Required qualifications PhD in engineering, neuroscience, biostatistics, bioinformatics, computer science, or a related quantitative
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-informed / simulation-aware modeling Efficient algorithms for design-space exploration (e.g., surrogate modeling, Bayesian optimization, differentiable programming) Hybrid approaches combining data-driven
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energy infrastructure. CRC research spans threat actor modeling and simulation, operational technology (OT) risk analysis, adversarial experimentation, hardware and software assurance, supply chain
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‑zero mission and supporting sustainability targets by performing techno‑economic analysis of various Power‑to‑X conversion pathways. The position places particular emphasis on modelling end‑use scenarios
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modelling, data-driven approaches, and experimental validation. The project combines computational materials science with practical membrane design for electrochemical energy applications. PhD Position 1
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discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. A PhD in an engineering domain and solid knowledge of space systems are required for this position
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sensing data and/or geophysical data pipelines (ICESat-2 experience a bonus). • Experience applying machine learning in scientific/engineering contexts (e.g., surrogate models, classifiers
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Researcher (R2) Positions PhD Positions Application Deadline 5 Mar 2026 - 20:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job funded through the EU
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6 Feb 2026 Job Information Organisation/Company University of Oslo Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Mar
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team of engineers, analysts, and software developers. GAC works to develop and apply state-of-the-art energy system modeling techniques, software, and simulations for breakthrough engineering and techno