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of the project: The project focuses on advanced biophotonics and optoelectronics, with particular emphasis on techniques used for optical imaging of the human retina. It centers on two-photon fluorescence
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knowledge of, LCA assessments. Additional Information Preferential skills & competences Experience with or knowledge of the following databases and models: EXIOBASE, FABIO, GLOBIO, LC-IMPACT, IMAGE; Previous
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to: Regulations for awarding scholarships: https://www.fnp.org.pl/images/documents/Nabor%20FT%201-2025/PDF/2.2.1%20Zalacznik%203%20do%20UoD_Regulamin%20przyznawania%20stypendiow.pdf Selection process Complete
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for experiments using reinforcement learning, Bayesian methods, image analysis and data analysis. Collaborate with interdisciplinary teams, including machine learning experts, device modelling specialist
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 1 day ago
, molecular and cell biology, high content automatic imaging, chemical biology, and organic chemical synthesis. The program Our goal is to enable and empower students with the ability to successfully design
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research prototype, a system designed to integrate GDPR compliance directly at the operating system level. Main tasks : - Getting familiar with the rgpdOS prototype - Designing BPF functions to extend
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to develop and apply advanced remote-sensing approaches and AI-assisted image analysis to investigate the distribution, diversity, and spatial dynamics of Antarctic lichen communities, thereby contributing
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Intelligence (G-AI) systems capable of producing text, images, and audiovisual works (either autonomously or with human collaboration) raises fundamental questions for the future of human-creativity and cultural
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 4 days ago
interacting fibers producing visually appealing images. However, these simulators remain limited to fibers with small natural curvature, making them unable to retrieve the rich phenomenology observed for highly
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integrates three innovation lines: multimodal biotype identification, combining structural MRI, functional MRI, diffusion imaging, symptom profiles and behavioral measures to define neurobiological OCD