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translational cancer research is a strong advantage. The candidate will be embedded in the strong computational and wet-lab environments at NCMM. Should the candidate be interested, there will be an opportunity
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translational cancer research is a strong advantage. The candidate will be embedded in the strong computational and wet-lab environments at NCMM. Should the candidate be interested, there will be an opportunity
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are physically located at SINTEF, Forskningsveien 1, Oslo. The candidate We seek a highly motivated candidate excited to work on cutting-edge methodologies and stem cells with applications in translational
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applications in translational medicine. The ideal candidate is collaborative and creative, has formal training in microscopy, strong stem cell biology skills, and is willing to work in an international team
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-component, conferring telomere dysfunction and cellular growth arrest. The key knowledge need is to translate this finding into a therapeutic application. For more information and how to apply: https
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conduct cutting edge research in molecular medicine and biotechnology as well as facilitate translation of discoveries in basic medical research into clinical practice. Apply for this job Deadline 31st May
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has 11 research groups. The overall objective of NCMM is to conduct cutting edge research in molecular medicine and biotechnology as well as facilitate translation of discoveries in basic medical
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. The candidate's research project must be closely connected with the historical component of the main project Fluent oral and written communication skills in English Ability to read and interpret handwritten
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cellular growth arrest. The key knowledge need is to translate this finding into a therapeutic application. The main objectives of this phd-project are: (i) Optimization of small molecule inhibitors
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at the Perseverance landing site in Jezero crater. The Post Doc research work will include the following topics and tasks: Contribute to the operation of RIMFAX on Mars Process and interpret RIMFAX GPR data from Mars