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Field
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the scope of microbial ecology, environmental microbiology, and bioremediation. Strong expertise in biostatistical analysis and molecular biology is highly required. The postoctorate will perform experiments
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 3 hours ago
seeking for highly motivated Postdoctoral Researcher (f/m/d). to study genome organizing macromolecules, including Structural Maintenance of Chromosome (SMC) complexes, using in vitro biochemical and
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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statistics and uncertainty quantification (Bayesian analysis, data assimilation, Gaussian process modeling), and their application to complex systems modeling. Experience in developing and applying statistical
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. The selected candidate will assist with projects involving analysis of longitudinal data with missing, correlated data, and truncated outcome data. Pursuit of independent research that aligns with the project
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Requisition Id 15094 Overview: Oak Ridge National Laboratory is seeking a Postdoctoral Research Associate who will focus on material property testing, analysis, and modeling of reactor isotope
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-ray observatories, and involve complexity analysis on uniquely variable sources. Applicants with general experience related to these observatories, timing variability of compact sources, time domain
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-ray observatories, and involve complexity analysis on uniquely variable sources. Applicants with general experience related to these observatories, timing variability of compact sources, time domain
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take responsibility for the planning, execution and analysis of high-quality research, ensuring the validity and reliability of data at all times and will maintain ongoing scientific discussion with
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Python, for processing and interpreting complex proteomics data Familiarity with proteomics software for data analysis, visualization, and management Experience with biological samples (e.g., FFPE, plasma