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Field
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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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for this position include: (1) Experience with human behavioral and/or neuroimaging experiments. (2) A strong technical background in Bayesian and reinforcement learning models. Please apply with your CV. For people
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clinical trials in patients with cancer; to identify and validate predictive biomarkers of clinical outcomes in cancer; and perform meta- analyses using the Bayesian framework. The projects will lead to both
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. Experience leading investigations linking simulations to observational data. Experience with statistical characterization of data, preferably within a Bayesian framework. Job Description: A Post-doctoral
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Excellence in Nano Imaging (CNI). Cryo-EM resources include: 1. Thermo Scientific Titan Krios G3i equipped with a GIF Quantum energy filter and K3 detector 2. Thermo Scientific Glacios equipped with a Falcon 4
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modifications transcriptome-wide using long-read sequencing (Nanopore technology) using a METTL3 shRNA-based approach [15] and an alternative de novo approach within filtered DRACH motifs [17] and/or m6RIP-seq
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the technology up. The candidate will be focusing on adapting our technology for industrial applications and design a CO2 capture system/filter prototype for flue gas CO2 capture and large-scale plastic waste
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work on large-scale analysis of complex traits, including Bayesian machine learning and linear mixed model approaches for trait prediction and association in high-dimensional genomic datasets, as
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organizational, quantitative analysis and writing skills are necessary. Candidates with a strong background in molecular virology, next-generation sequencing, Bayesian analysis, phylogenetic analysis, statistical
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statistical shape analysis, Riemannian geometry, time series and stochastic processes, and Bayesian statistics. Key responsibilities: To carry out research within the framework of the project, under