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Join the forefront of groundbreaking research at City of Hope where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses
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reshaping epistemic norms and practices across the sciences. This is a one-year FY position beginning August 2026 to August 2027. Unlike previous domain-specific technologies, contemporary AI systems
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
. Use of digital earthquake models; The code used for calculations is written in Fortran, and the tools for processing input and output data are written in MATLAB and Python. The postdoctoral researcher's
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datasets using Python or R. Ability to work both independently and collaboratively, with strong organisation, attention to detail and communication skills. Clear motivation to apply interdisciplinary and
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motivated Postdoctoral Fellow with strong expertise in RNA-seq and multi-omics data analysis. Candidates should be proficient in Python and/or R and have a solid background in Biology, Computational Biology
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foundation of democratic states. Currently, AGR and UCLouvain own a large number of digitized and digital-born documents from a wide variety of sources from different periods. This diversity offers a challenge
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microscopy, antibody-based techniques, small molecules/ligand-trap based therapies Preferred qualifications Experience with bioinformatic analysis using R and/or Python. Experience with molecular/cellular
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Excellent critical programming skills in Python Strong command of English (spoken and written) Familiarity with ethical and responsible AI considerations Interest in translating models into applied
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: Support the RE-STEEL project research team in the main research tasks. Functions to be developed: Define basic structural reliability curves for different reference periods. Participate in the SHM strategy
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of a team. Ability to meet deadlines and efficiently multitask. Ability to effectively collaborate across a range of individuals with different comfort toward computational biology, including oral and