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Field
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25th February 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in machine learning and large language models (LLMs
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learning, optimisation, system modelling, or related quantitative methods, as acquired through master’s level coursework and project work. Familiarity with data driven modelling approaches relevant to energy
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SELECTION PROCEDURE FOR THE HIRING OF AN ENTRY-LEVEL PHD WITHIN THE SCOPE OF THE PROJECT "FIT-HEART – Metabolic flexibility as a critical factor for improving the outcomes of Heart Failure with Preserved
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bioreactor performance. Developing and applying modeling tools to evaluate enzyme activity, and process performance across scales. Advance bioprocess optimization of complex microbial systems, including multi
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the application. A Criminal Background Check must be conducted for all applicants. Quick Link https://careers.utrgv.edu/postings/50078
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Neuroscience uses theoretical approaches from this broad range of disciplines to integrate experiment, data analysis and modelling in order to understand the brain. Furthermore, it makes a scientific language
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27 Jan 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Modelling tools Computer science » Programming Engineering » Civil
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relevance. This project bridges materials science, bioengineering, and cell biology, contributing to the development of advanced biomaterials for tissue engineering and disease modeling. Your profile Master’s
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opportunities within the university Yes Description of the above-mentioned funding opportunities within the university Please check our website on financial aid and scholarships: https://www.uni-stuttgart.de/en
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circuits in mouse models Applying tissue clearing techniques and light-sheet microscopy for 3D imaging of the entire mouse brain Analyzing and interpreting single-cell genomics data to investigate cellular