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to the application deadline. PhD in computer science, electrical engineering, biomedical engineering, or a related field. Experience in Python programming, natural language processing, and multimodal deep learning
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of Technology to pioneer the next generation of biorefineries using marine and terrestrial biomass. This postdoctoral position offers the opportunity to develop innovative green processes for transforming
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coast and in offshore areas. The position will also include further development of ongoing data analyses within the national data collection program (DCF), which plays a key role in improving our
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that makes an impact. All that's needed is a place where ideas have the space to meet and grow. That's what we've created – and you are invited. Change starts here! The Department of Biology and Environmental
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industrial demands in the wood composite industry. In this project, you will have the opportunity to combine cutting-edge expertise in polymer science with practical solutions for a greener future. If you have
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from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven life science. The successful candidate will be working within the development
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, genotyping, immunohistochemistry, RNA in situ hybridization and statistical analyses. Qualifications The ideal candidate should have a PhD in molecular or developmental biology, neurosciences, photoreceptor
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-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality
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Description of the workplace The position is located at the division of Packaging Logistics at the Department of Design Sciences at LTH, Lund University in collaboration with the division
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