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Field
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Exactly: A Bayesian Approach. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration
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opportunity for a highly motivated and skilled Research Associate/Assistant in statistics to join the EPSRC funded project PINCODE: Pooling INference and COmbining Distributions Exactly: A Bayesian Approach
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 9 hours ago
for individuals that are interested in pursuing a PhD in economics or finance. The chosen candidate will also gain valuable experience in the application of machine learning and Bayesian inference methods
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modeling, or machine learning - Experience with large-scale genomic data analysis (e.g., GWAS, QTL, PRS, or multi-omics integration) Strong programming skills in R or Python; familiarity with Bayesian
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and manipulating complex data structures, Bayesian modeling, analyzing nested longitudinal data, and who are familiar with techniques for handling challenging data (e.g., highly non-normal distributions
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and based on local respective regulations, depending on prior research experience. Objectives: To monitor ticks along ecological gradients in recreational forests in the region of Montréal and Brussels
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 2 days ago
the provisions of Decree-Law no. 66/2018 of 16th August until the signature of the contract Work plan: The selected candidate will join the A2S Team, with the objective of implementing a high-quality research
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involved in various growth processes throughout the plant life cycle. Main objectives will be the prediction of GA-binding residues, their validation using molecular analysis, and the screening for novel GA
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that facilitate sustainable soil remediation and waste management. Project description The main objective of this project is to create a sustainable and cost-effective solution for managing PFAS-contaminated soil
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methods of detection, identification, classification and tracking of objects of different sizes, shapes and speeds of movement using elements of artificial intelligence and machine learning. • Research work