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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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at Stockholm University, SciLifeLab, and national Swedish infrastructure. The project is expected to lead to both methodological advances and biological insights into how protein conformational states are
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statistics, engineering physics, physics, machine learning, or in a similar subject, or have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including
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computer science, image analysis and machine learning, engineering physics, data science, applied mathematics, molecular biotechnology engineering, or another related field; or Have completed at least 240
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, engineering physics, physics, machine learning, or in a similar subject, or have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project
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a part of the selection process. We ask all candidates to upload a CV, diplomas, course transcripts and to enter the names and e-mail addresses of at least two references. You are welcome to submit
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. Application process Submit your application and supporting documents through the Varbi recruitment system. Use the button in the top right corner and follow the instructions. We prefer that your application is
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requirements, the applicant must have credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics or alike, including a 30 credit Degree Project (thesis). proficiency in English equivalent