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global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally
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of at most 20%, including teaching and administration, may also be included in the employment. Requirements To meet the general entry requirements for doctoral studies, you must: Hold a Master’s degree in
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reimbursements for medical care. Eligibility requirements for doctoral education In order to participate in the selection for a doctoral position, you must meet the following general (A) and specific (B
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to communicate fluently in English, both written and spoken. The following qualifications are not essential but are considered highly beneficial: Experience with foundation models, transformers, generative models
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to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.3 billion
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to improve acute tissue slice culture, cryopreservation and distribution. Analyze the generated data, design and perform validations through tissue imaging and other functional measurements. Lead the project
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for cardiometabolic and liver diseases. Current therapeutic strategies largely operate at the gene level, overlooking the functional diversity generated by alternative splicing. This project addresses this critical gap
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next generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.3 billion SEK over 12 years
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intersection of machine learning and life sciences, developing next-generation models that improve our understanding of human biology and enable more proactive, personalized healthcare. As an Industrial PhD
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of at least 15 credits, or has otherwise acquired essentially equivalent knowledge. Eligible applicants must be able to demonstrate skills in advanced population genomics and general evolutionary biology