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the order of its four building blocks, we can make DNA and RNA fold into precise nanoscale machines, carry out logical computations, and store and read out information. We are looking for one or two
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provide a letter of recommendation, if required for the specific position. For more details about the program (including further application instructions), please visit: https://www.mpg.de/en/max-planck
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(UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Location: Churchill Hospital, Oxford About the role We have an exciting opportunity for a highly motivated Postdoctoral Research Scientist in Computational Biology to join the Oxford Vaccine Group
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Re-contract research program focuses on the idea of the social
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About the role We have an exciting opportunity for a highly motivated Postdoctoral Research Scientist in Computational Biology to join the Oxford Vaccine Group (OVG) as part of the Correlates
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, developing and applying computational methods to explore renal pathology across tissue scales. This project will focus on tubular injury patterning and on glomerular disease. You will be responsible
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. Qualifications To qualify for the DOE OREM Science Education and Internship Program, you will need to meet the following eligibility criteria at the time of application: Be a U.S. citizen at the time of
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Job Description Apply now Job Title: Postdoctoral Associate - Computational biology and Bioinformatics Division: Medicine Work Arrangement: Onsite only Location: Houston, TX Salary Range: $63,480
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 17 hours ago
Role Overview: We are seeking a highly motivated computational biology postdoctoral fellow to lead translational studies in single cell and spatial biology of gastric cancer immunology and evolution