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. The successful candidate will be joining the STM on 2D Quantum Materials Group led by Prof. Dr. Carmen Rubio-Verdú. MAIN RESPONSIBILITIES: Design and fabrication of devices Measurements in STM Data analysis
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in one or more of the following programming languages/environments: Python, PyTorch (or similar), and experience with LLM frameworks (e.g., Hugging Face, LangChain) or data analysis tools. Hold a
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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human genetics and the biological interpretation of complex traits. You should have experience with genetic data analysis, statistical genetics, and be motivated to understand how AI-based models can be
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application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of repetitive
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Simulations of Microstructure driven Mechanical properties from high Throughput and multiscale analysIS) project which is based on an effective collaboration between LEM3, ICA, PIMM and CEA. The PhD candidate
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and further information go to: https://www.uni-muenster.de/CiM-IMPRS We offer 16 fully financed PhD positions. More positions financed by work contracts may be offered depending on availability
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» Information management Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 Apr 2026 - 23:59 (Europe/Amsterdam) Country Switzerland Type of Contract Temporary Job Status
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enquiries please contact Dr Lauren Lee at: lauren.lee@ucl.ac.uk For further information on the MPhil/PhD course as well as the recruitment and selection process, please click on the link below: https
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analysis with spatial data to assess cascading supply chain risks and other systemic effects, supported where relevant by system dynamics modelling. Second, the PhD candidate will develop models to assess