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of assuming the position. Where to apply Website https://sede.upct.es/tramites/RH0008 Requirements Research FieldComputer science » Computer architectureEducation LevelPhD or equivalent Research FieldComputer
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. The successful candidate will be involved in the gravitational wave astronomy research area as part of the GRAVITY research group, within the framework of the project "Ground-based Discovery Machines
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computer engineering and a qualifying master’s degree -Skills: Expertise in complex analysis models for large databases (machine learning, deep learning, etc.) and artificial intelligence. Verifiable
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various computer vision systems for quality control in industrial environments Integration of fine-tuned and adapted LLMs and LVMs in edge-cloud architectures Design of Large AI Models (LAMs) for visual
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. Collaborate with members of the research team in maintaining documentation, protocols, and research workflows. Where to apply Website https://apply.interfolio.com/190159 Requirements Research FieldLanguage
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Position Description The project will focus on the development and application of advanced data-analysis techniques for gravitational-wave science, including machine learning and deep learning
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, engineering or physics. Knowledge: Computational programming, machine learning, quantum transprot, device simulation. Professional Experience: use of device simulation codes applied to 2D materials. Personal
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contribute to project reporting. Work with the interdisciplinary team of the group (theory, computation, machine learning) and support junior researchers on SOT-related topics. Requirements: Education: PhD in
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to Principal Investigator level. Research areas include: Population neuroscience and multimodal neuroimaging Computational psychiatry and imaging genetics AI and machine learning for brain science Multi-omics
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CIC bioGUNE (Asociación Centro de Investigación Cooperativa en Biociencias) | Bilbao, Pais Vasco | Spain | 3 months ago
-based approach with a machine learning model (foundational model) to propose protocols for the sequential induction of transcription factors to generate desired cell subtypes. The selected candidate will