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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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planning and coordination of production activities in supply chains and generate managerial insights and practical guidelines for practitioners. Take part in the mandatory PhD research education program
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, visit: https://sites.google.com/view/tommaso-giovannini The ideal PhD candidate has: a solid background in theoretical/computational condensed-matter physics or chemistry (MSc in Physics, Chemistry
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highly motivated, analytically strong, and collaborative candidate who is comfortable working at the interface of experimental and computational biology. A structured and independent working style
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) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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:00 (UTC) Country Italy Type of Contract Other Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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round in September/October each year. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content Our structured, three
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possibility of extension) Start date: August 2026 at latest The students will be enrolled in the structured PhD programme in Computer Science at Sapienza University of Rome, Italy: https://www.uniroma1.it/en