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between the University of Plymouth and Cornwall Partnership NHS Foundation Trust, starting in May 2026. About the role The purpose of the role is to develop and apply mathematical models and computational
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3D environments. • Design of a robust control architecture to ensure autonomous navigation using information from the optical localization system (development of estimation algorithms, use of observers
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 16 days ago
research, development, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics (HPDA), Artificial Intelligence (AI), and Quantum Computing (QC) and their applications
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analyse and develop new, well-founded methods and learning algorithms that extend the boundaries of existing techniques - for example, with respect to expressivity, generalization, interpretability
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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? No Offer Description Mission: Adapt simulators for electromagnetism, electronics and computer architecture and perform simulations in these areas. Functions to be developed: Provide support for
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. Research Tasks and Training Objectives The doctoral candidate will: Develop numerical and data-driven models for thermoelectric coolers used in on-chip cooling applications Apply optimisation algorithms
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Cranfield, Bedford Website http://www.cranfield.ac.uk/ Street HR and Development Postal Code MK43 0AL STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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of the variability of stars. The analysis will involve processing the photometric time series data into photometric light curves and developing algorithms to quantify the variability of the stars. All data will then