17 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "St" "St" "St" "St" uni jobs at SciLifeLab
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at https://nbis.se. Duties We are seeking a candidate who wants to help enable life science research in Sweden that goes beyond what is achievable by individual researchers, a single university, or a single
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guided by supervisors. Doctoral studies end with a thesis and a doctoral degree. More about being a doctoral student at LTH on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and
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image analysis software (e.g. Fiji, Napari, scikit-image). Familiarity with high-performance computing or cloud environments. Experience with multimodal or correlative imaging data (light/electron
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representatives at the University of Gothenburg can be found here: https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande Application To apply for a position at the University of Gothenburg, you have to
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University one of Sweden’s most exciting workplaces. Read more about our benefits and what it is like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The position may be subject to security
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and autoimmune diseases. Camilla Engblom: https://www.scilifelab.se/researchers/camilla-engblom/ Eduardo Villablanca: https://ki.se/en/research/research-areas-centres-and-networks/research-groups
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live-cell imaging to join the Advanced Optical Bio-Imaging Laboratory (http://www.testalab.org ) in Stockholm as a Research engineer. The position focuses on the investigation of different labelling
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. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. The applicant is expected to have a strong computational focus on innovative development and
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Do you want to contribute to top quality medical research? Karolinska Institutet (KI) is recruiting researchers as part of the SciLifeLab Fellows program. The successful candidates will join KI and
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Do you want to contribute to top quality medical research? Karolinska Institutet (KI) is recruiting researchers as part of the Data-Driven Life Sciences (DDLS) Fellows program. The successful