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. The project revolves around developing Traident – a new method to resolve the species origins and compositions of complex RNA sequence data. This will extend Kraken2 with analyses of ribosomal RNA and microRNA
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variability in risk factor susceptibility, treatment response, disease pathogenesis, and clinical diagnosis (biostatistics, machine/deep learning), ii) Investigating causal processes and disease mechanisms
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. Position description Construction industry is one of the biggest contributors to waste and carbon emission and this sector is at a crossroads. Unless major changes, the industry risks failing to meet the
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flow of reactive gases containing the atoms needed for the film material. The gases undergo chemical reactions, leading to products that react with the surface, depositing the atoms that build
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courses and conduct independent research, leading to a doctoral thesis in business administration with a focus on entrepreneurship. The course component of the doctoral program corresponds to 90 credits
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future product owners and users is a key factor to the success of these projects. In this, you will work closely with other LTU researchers and doctoral students. Duties As a PhD student, you work towards
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working with both academic and industrial partners in Europe. Hence, collaboration with the software and automation industry in the form of both future product owners and users is a key factor to the
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factor to the success of these projects. In this, you will work closely with other LTU researchers and doctoral students. Duties As a PhD student, you work towards a Doctoral degree as the final goal
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working with both academic and industrial partners in Europe. Hence, collaboration with the software and automation industry in the form of both future product owners and users is a key factor to the
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grounding, in other words, the linking of elements of natural language (words, phrases, or sentences) to visual inputs (such as images or video) in a meaningful way. The position is part of an on-going