270 evolution "https:" "https:" "https:" "https:" "https:" "Fundação Minerva " Postdoctoral research jobs at Nature Careers
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? We are seeking a highly motivated
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https
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candidate will work closely with wet-lab scientists and will play a central role in the development, implementation and application of bioinformatics pipelines for gene expression analysis, with a particular
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of the Medical University of Vienna. With around 6,500 employees and 8,600 students, the Medical University of Vienna is one of the largest biomedical research and teaching institutions in Europe (https
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apply and should refer to PD2 posts instead. Prior to application, further information (including application procedure) should be obtained from the Work at UCD website: https://www.ucd.ie/workatucd/jobs/
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. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:887298/ ) and submitted by the deadline 18 March 2026. Please apply at with
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mammalian cell work are desirable. The candidate should have worked independently and have good communication skills for teamwork. This is a three-year training and development position suitable for you if
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and imaging techniques. Familiarity with advanced bioengineering approaches, such as bioprinting or microfluidic systems for in vitro model development. Strong publication record and ability to work in
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research portfolio, please visit our website at: https://www.sdu.dk/en/forskning/dache Employment Appointment to the position will be in accordance with the salary agreement between the Ministry of Finance
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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink