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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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of patient-derived organoids exposed to defined stressors will enable the identification of stress-responsive loci and transcriptional networks that promote PDAC cell hardiness. The functional validation
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, online, and ex situ experiments, supplemented by in-depth theoretical modeling. The project should advance the identification of carriers of unexplained interstellar spectral signatures. Where to apply
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contract may not be renewed. Applications must be formally submitted by email and must include identification and contact details, together with the following documents: (1) Curriculum Vitae; (2) cover
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the network, as well as with academic and non-academic partners. General information about the CLIMES project is available at: [https://www.climes.se/climesdn/ ](https://www.climes.se/climesdn/ ) All working
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: " Identification of mechanisms, biomarkers, and interventions in comorbidity in hypoxemic respiratory diseases through preclinical, clinical, and computational approaches." (P2022/BMD-7224), granted in the 2024
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interested in developing analytical strategies for the characterization of metabolic profiles of microbial communities, identification of unknown metabolites, and development of reference materials, all based
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Assistant to
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identification is challenging due to the system complexity and the limited data-set size; however, often data coming from related, similar scenarios might be available. In view of this, the goal of this project is
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maintained, and working as a liaison to college and university space and safety staff. Services provided on a regular basis by the Facility include protein identification, quantitative proteomics, quantitative