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inform or design future experiments. As a researcher in my group, you would not only develop imaging theory and analysis tools to answer science questions about where the atoms are, what they are, and how
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, the PhD student at ETRO will contribute to the core of the AI pipeline by designing and validating generative models (e.g. latent diffusion-, autoencoder-, and GAN-based approaches) that can infer
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 29 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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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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integration (up to 3 million cells) using deep learning-based approaches, hierarchical clustering, and cell type annotation benchmarked against published CRC atlases Deconvolution and TME characterization
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learning applications in materials science is a plus Ability to design and conduct experiments independently with strong analytical and problem-solving skills Excellent scientific writing and communication
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. Your work tasks A PhD stipend is available in the field of design for circularity in power electronics. The position focuses on modelling and design of power electronics to enhance the reuse and
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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
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29 Mar 2026 Job Information Organisation/Company Mittuniversitetet Department Department of Natural Sciences, Design and Sustainable Development Research Field Environmental science Researcher
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, TEM, EBSD). Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories. Designing active learning and experimental design