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translate these discoveries into precision medicine. We develop computational and statistical methods while integrating human genetics, single-cell and multi-omics, large-scale biobank resources, and
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social, biological, and computational sciences. A primary area of focus will be the role of olfaction in social behavior. Competitive candidates will have demonstrated interest in the relationship between
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Max Planck Institute for the Physics of Complex Systems (MPI‑PKS) | Germany, | Germany | about 4 hours ago
found on our website: https://www.pks.mpg.de/research The appointment is for two years, renewable for one more year. Successful candidates are expected to have at least one year of postdoctoral
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valued. Statistical and computational programming experience in R, Matlab, SAS, SPSS, Jscript, and/or Python. Research experience and a record of publications and research presentations. Research
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Position Summary The TARDIS collaboration is actively applying and extending the Monte Carlo radiative-transfer open-science framework TARDIS (https://tardis-sn.github.io/) to model the physics of
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Departments and Centers: Molecular and Cellular Physiology Postdoc Appointment Term: Open-ended Appointment Start Date: ASAP Group or Departmental Website: https://hinshawlab.stanford.edu/ (link is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
sustained impact, as articulated in the School’s Strategic Plan (https://pharmacy.unc.edu/about/oe/strategic-plan/). Our Vision is to be the global leader in pharmacy and pharmaceutical sciences. Our
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multimedia content for communicating CSHub research and implementation activities to both scientific and non-scientific audiences. The full job description is available here: https://sites.mit.edu/cshub
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topics in quantum computing and their practical applications. In this position, you will work at the intersection of quantum computing, computational biology, genomics, and materials science. You will
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individuals differ in disease onset, progression, and treatment response. We develop statistical models and computational tools to uncover the mechanistic basis of inter-individual variation in the