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information and communication theory, machine learning, and signal processing. We offer a dynamic, supportive, and international research environment with around 150 employees from more than 20 countries. Our
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well as end-use requirements and sustainability. This project aims to create molecular understanding of adhesion mechanisms in bio-based wood adhesives. Anyone applying for this postdoc position should have
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University of Technology , where you will develop explainable AI models for personalized treatment planning in sports medicine and orthopaedics. You will work in a highly interdisciplinary environment
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KTH, Mathematics Position ID: 421-POSTDOC [#27320, PA-2025-3148] Position Title: Position Type: Other Position Location: Stockholm, Stockholm 10044, Sweden [map ] Subject Area: Postdoc in
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the Job related to staff position within a Research Infrastructure? No Offer Description Job description The work involves simulations of the dynamic vehicle-track interaction for various types of rail
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explainable AI models for personalized treatment planning in sports medicine and orthopaedics. You will work in a highly interdisciplinary environment, collaborating with leading experts in AI, mathematics
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Description Job description The postdoctoral researcher will be part of the EU project “Digitising Smell: From Natural Statistics of Olfactory Perceptual Space to Digital Transmission of Odors.” The project
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processing. Your Role You will work on developing large scale models for sign-language processing, based on unsupervised representation learning and large language models. The models will be fine-tuned and
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can include angles from human genetics, gene regulation, cell biology and computational systems biology. The research group works at the international forefront of human functional genomics, aiming
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a unique opportunity to work at the intersection of molecular biology, forest technology, and applied innovation. The goal is to utilize existing filters in forest machines to collect eDNA, enabling