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Field
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lightweight AI models suitable for real-time execution on constrained platforms using techniques such as model compression, quantization, and hardware-aware neural network design. Investigating mechanisms
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complex biological systems. Research Environment & Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | about 1 month ago
a Research Infrastructure? No Offer Description About the MSCA project MICROSUNSET is a Marie Sklodowska-Curie Actions Doctoral Network (MSCA-DN) funded by the European Union, in which we have 12 open
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | about 1 month ago
a Research Infrastructure? No Offer Description About the MSCA project MICROSUNSET is a Marie Sklodowska-Curie Actions Doctoral Network (MSCA-DN) funded by the European Union, in which we have 12 open
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researcher will be responsible for advancing the core research streams of the ERC LEARN project. Key responsibilities of this role include: ● Preparing complex data for analyses ● Conducting advanced
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, Python). Experience in working with complex datasets. Interest in neurodegeneration and translational neuroscience. What we offer: A 2-year competitive doctoral scholarship and full benefits, renewable
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and spatially complex nature of MRI signals. Each MRI examination involves multiple pulse sequences, with signal acquisition being sensitive to coil placement, sensor geometry, B0/B1 inhomogeneities
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, transportation networks, and water treatment plants, increasingly rely on AI-driven decision-making for efficiency and autonomy. However, these systems face unique safety challenges. Real-world conditions
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to modern-day technologies and the net-zero transition. Despite their strategic importance, the UK remains heavily dependent on fragile global supply chains and primary mining routes with significant
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on landscape archaeology using Geographic Information Systems (GIS) and network analysis MAIN JOB CONTENT Framework Performance of auxiliary/partial research and development work according to the instructions