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. We are seeking a highly motivated student in computer science, environmental sciences, or a related field to contribute to cutting-edge research in machine learning applications for Earth Sciences
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architectures based on MLIR / LLVM. - Research on optimization techniques for extracting and mapping data flow graphs on custom archtectures. - Research on custom dialects on MLIR. Where to apply E-mail
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: comparative omics, genetic diversity analysis, mathematical modelling, machine learning, and the use of model organisms. Develop transferable skills such as scientific communication, project management
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constructing machine learning models for molecular properties is required. The candidate should have also some programming experience with Python. Where to apply Website https://apps.udg.edu/Registre/?formulari
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Knowledge -Mathematical models. -Quantum algorithms. -Machine Learning. Professional Experience -In high-level international research. -Direction of international research projects. -In mentoring
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and aerial data. Analysis of large wildlife databases: neural networks. Computing clusters with CPU/GPU. Specific Requirements Educational Requirememts: Machine learning. Signal processing. Signal
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de técnicas de aprendizaje automático (ML/DL) aplicado a imágenes. / Proven experience in the use of machine learning techniques (ML/DL) applied to images. Experiencia demostrable en el desarrollo de
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internal reports and manuscripts. Requirements: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge of machine learning, including graph neural
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metrics. - Uso de técnicas de aprendizaje máquina/profundo y técnicas de segmentación aplicado al procesamiento de imágenes y vídeo / - Use segmentation and machine/deep learning techniques applied to image
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25 Sep 2025 Job Information Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Engineering » Electronic engineering Engineering » Computer engineering