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hierarchical Bayesian models to cognitive processes Supervisor: Dr Martin Lages Project aims: New variants of hierarchical Bayesian models of cognitive processes can be investigated using simulated, existing and
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, which specializes in modelling, control, and optimization of mechatronic systems and processes (https://dynamics.ugent.be ). We are looking for a motivated and talented PhD student to delve into the field
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Your Job: System design and implementation for an in-house X-ray beamline for long-term operando investigation of chemical hydrogen storage reactors Modeling and simulation of the beamline
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understanding of RF and microwave principles, including impedance matching, filters, and antennas. Basic experience with circuit simulation or electromagnetic modeling tools (HFSS, ADS, CST, or MATLAB
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to conduct
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methods, network flow modelling and multi-agent or decision-simulation approaches, the student will assess trade-offs between local objectives and national-level resilience outcomes. A further strand will
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to comprehensively characterize the role of ENPP1 across the different stages of metastasis, assessing its potential as a therapeutic target in preclinical models and as a risk biomarker in patients with breast cancer
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Posting Summary Logo Posting Number RTF00066PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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28 Feb 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Simulation engineering Researcher Profile
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the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc in Machine Learned Semiconductor Material Properties for Quantum Transport Simulations The simulation