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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 24 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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learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing and implementing NLP pipelines for clinical text processing, semantic annotation
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. The project focuses on power-aware computing, thermal optimization, and sustainable electronic design, targeting critical applications in aerospace, healthcare, and industrial automation. Hosted by the renowned
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within the project AI4TECS Writing a doctoral dissertation in computer science Publishing research findings in leading international conferences and high‑impact journals in AI, machine learning, and
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critical thinking, creativity, strong written/verbal communication, strong interpersonal skills, be able to coordinate between people from diverse fields, and have enthusiasm for learning and mastering new
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Technology of UHasselt. The research activities mainly focus on the design and mechanical behaviour of structures and structural components made of concrete, masonry, steel, timber, and composite and hybrid
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interest in cell biology (DNA repair field), microsccopy and processing of large datasets Strong English language skills – both spoken and written Eager to learn innovative approaches in data analysis
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Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating exciting opportunities for machine learning to address outstanding biological questions
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
leverage machine learning techniques to bypass IO bottlenecks in the context of physics simulation on high-performance computing (HPC) clusters. This work is thus placed in a broader ``Machine Learning for
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designs and evaluation frameworks for AI-assisted decision-making Collaborating with the technical team to study the interaction between AI systems and legal users Publishing research findings in leading