14 evolution "https:" "https:" "https:" "INESC ID" Postdoctoral positions at Karolinska Institutet (KI)
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, located in state‑of‑the‑art facilities at the interface of Karolinska Institutet (KI) and SciLifeLab in Stockholm, are recruiting a postdoctoral researcher to work on the development of Fast, Light‑And
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environment, where collaborative efforts are encouraged and your development to scientific independence will be fostered. We constitute a multi-disciplinary group of experimentalists, lab technicians
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for academic development, interdisciplinary collaboration, and international networking Entry requirements We are seeking a highly motivated postdoctoral fellow with the following qualifications: A PhD (or near
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publications see here: https://www.scilifelab.se/researchers/stefanos-stagkourakis/ Essential technical expertise (Required) This position is intended for candidates who can immediately operate at a high
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largest laboratories with ultramodern facilities and rich opportunities for collaboration and career development. Division Our lab is interested in stimulating regeneration in the mammalian central nervous
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health for all! Where to apply Website https://ki.varbi.com/en/what:job/jobID:890949/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number of offers available1Company
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closely with clinicians, pathologists, statisticians and other national and international partners. Contribute to the design and conduct of clinical trials, including protocol development, data collection
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groundbreaking top quality education and research. Karolinska Institutet is also a state university, which entitles you to several benefits through our collective agreement. Location: Solna, Stockholm https
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health for all! Where to apply Website https://ki.varbi.com/en/what:job/jobID:889366/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent Research
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splicing and computational method development. The Chen lab is interested in developing advanced computational approaches to decipher RNA diversity and its regulatory mechanisms in human metabolic diseases