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supervisor: Dr. B Adams [XYZT], Co-supervisors/mentors: Prof. H. Sallouha [KUL], and Dr. R. Martinez [KUL] Required profile: Telecommunications, Electrical Engineering, computer science Desirable skills
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Your profile PhD applicants must hold a Master's degree in computer science, mathematics, or electrical engineering, with demonstrated strength in either practical implementation or theoretical
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 10 days ago
Job Offer from December 01, 2025 The Department of Molecular Simulations and Design (Prof. Dr. Matthias Stein) at the Max Planck Institute for Dynamics of Complex Technical Systems is inviting
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Supervisors : Prof Christine Orengo – The Orengo Group website Dr Gorka Lasso - The Lasso Lab Website Collaborator: Prof. Kartik Chandran – Chandran Lab, Albert Einstein College of Medicine
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11 Dec 2025 Job Information Organisation/Company Universität Siegen Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline
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France Application Deadline 1 Jan 2026 - 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU programme Reference
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Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr George Gordon and Dr Abdelkhalick Mohammad (Faculty of Engineering) Funding: fully-funded (stipend and PhD fees) Start date
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Application Deadline 30 Jun 2026 - 00:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 1 Jun 2026 Is the job funded through the EU Research Framework Programme
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within the centre for Crop Systems Analysis (CSA) at Wageningen University. PhD position #1 will be supervised by Dr Luuk Croijmans, Dr Dirk van Apeldoorn, and Prof Dr Niels Anten. PhD position #2 will be
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, into the research groups of Prof. Oliver Buxton whose expertise is on turbulence, wind-energy flows, and turbulent cloud microphysics and Prof. Luca Magri whose expertise is in scientific machine learning