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gene expression profiles and cellular heterogeneity within tissues can predict how existing drugs might act on previously uncharacterized disease mechanisms or cellular subtypes. These models will be
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challenges, architecting solutions that bring the power of science to life.
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and oral proficiency in English, the capacity for analytical thinking, the ability to collaborate, as well as creativity, initiative, and independence. The assessment will be based on previous
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relatively short reads, making it impossible for reads to span over large and complex SVs. However, recent advancements in long-read sequencing technologies now offer the potential of a cheap and powerful
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the professional ability to work independently on their specific project over time On a larger scale, Karolinska Institutet is one of the world’s leading medical universities, with the vision to provide better
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spreads—and how that process might be blocked through novel interventions. Glioblastoma is one of the most lethal brain tumors, with few treatment options. This project aims to uncover the genes and
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data from pathogen surveillance efforts and biobanks. We seek a highly motivated individual, with an ability to work independently and a strong interest in pursuing a PhD degree in Data driven
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team. The candidate is organized, curious, and shows ability to analyze complex problems with an open-minded approach. Terms and conditions The doctoral student will be employed on a doctoral studentship
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Experience in deep learning/generative AI or molecular modelling Prior research or industrial exposure Ability to work in a multidisciplinary and collaborative environment How to apply: The application
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accordance with the provisions of the Higher Education Ordinance, the selection should primarily be based on an assessment of the applicants’ ability to benefit from the education. During admission, it is