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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 40 minutes ago
relativity, to the analysis and interpretation of data from LIGO, Virgo and KAGRA today, and from Einstein Telescope, Cosmic Explorer and LISA in the decade ahead. We invite applications for several
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Advantages: Experience in the analysis of gene regulatory networks Experience with CRISPR and/or lineage barcoding methods Experience in genomics method development Experience in leukemia or immunology
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theory and application of temporal reasoning and ultrasound video analysis from the human-AI collaboration (HAIC) perspective. You will be part of the Noble research group at the Institute of Biomedical
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of the research group. Critical analysis and interpretation of experimental data are integral aspects of the role, and the candidate will be expected to regularly present findings within the group, department, and
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 8 hours ago
pavement networks. This position will focus on modeling and optimizing pavement performance under evolving climate and hazard conditions. This position will advance modeling of pavement life-cycle
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funded NIH R01 project dissecting the SOX4/SOX9 transcriptional regulatory network that governs biliary development in Alagille syndrome and advancing the therapeutic potential of targeting this network in
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for all full-time staff. Detailed Description Decarbonising heat is one of the most critical challenges in the transition to net zero. The Sustainable Open-loop Large-scale Interseasonal Thermochemical Heat
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research agenda leading to production of research articles, project reports, analysis reports, and other outputs related to two projects. NY SMART I-Corridor – As an official awardee of the New York
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, particularly gene-regulatory network inference, pathway analysis, or inferred protein-activity analysis. ChIP-seq, viral vector methods, genome engineering, or related molecular approaches. Candidates are not
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Conduct physical vapor deposition experiments using advanced PVD processes such as synchronized HiPIMS Perform in-depth materials characterization and surface analysis Apply and improve high-throughput