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trials at Röbäcksdalen explore how increasing species and functional group diversity influence productivity and resilience. The main task for the postdoc will be to collect and analyze CO2 flux data from
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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