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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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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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will be based at the Division of Applied Chemistry at the Department of Chemistry and Chemical Engineering, and work closely with the Swedish NMR Centre. The position is part of FibRe, a VINNOVA
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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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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
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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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power grids. In this role, you will combine theory and experimentation to address one of the most critical challenges in modern energy systems, maintaining stability in an increasingly converter-dominated
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We are looking for a postdoctoral researcher who wants to contribute to the development of next-generation frameworks for resilient power grids. In this role, you will combine theory and
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for a postdoc with a keen interest in biotechnology and protein biochemistry. About the position Your work will involve the use of several different heterologous hosts to improve our current production