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different aspects of evolvability – the ability of organisms to evolve. We are interested in developing computational and mathematical tools to understand and quantify evolvability while exploring its
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considering different means of transportation. The train and bus routes are different types of connections and should in some models be represented by different kinds of edges. These kind of situations can be
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radar-derived surface soil moisture product using sequential data assimilation for root zone soil moisture mapping at high spatial resolution. Key Responsibilities: Assessment of different land surface
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
with a variety of ancillary data are used in a radiative transfer algorithm to estimate soil moisture. This research opportunity involves conducting different analyses to understand the performance
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
join our multi-disciplinary team to work on algorithms for mass spectrometry data analysis. The Becker group is working in close collaboration with Johannes Köster at the Institute for AI in Medicine
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computational tools, pipelines, or algorithms to improve the accuracy and speed of genomic workflows, particularly for rare variants and noncoding regions. • Functional Follow-up: Implementing functional assays
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this position will be to provide in vitro biochemical, biophysical and structural data from novel mutants of the EGFR kinase domain to drive and validate algorithmic development. Organisation The vacancy is
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» Algorithms Researcher Profile First Stage Researcher (R1) Country France Application Deadline 26 Mar 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1
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of Physics to work with David Hobbs on developing algorithms to improve the quality and scientific information that can be derived from the LISA mission. This work will be done in close collaboration with
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
multiple genome alignment to identify gene loss in plants and investigating its links with species divergence and adaptive traits in various plant clades, e.g., Orchidaceae, Poaceae, Solanaceae, Brassicaceae