Bayesian Modeling Jobs in Texas (NOW HIRING)

... Bayesian clinical trial designs, derive related statistical theory, produce software for ... modeling, data analysis, and computation. All duties and responsibilities are carried out in ...

... Bayesian clinical trial designs, derive related statistical theory, produce software for ... modeling, data analysis, and computation. All duties and responsibilities are carried out in ...

... Bayesian clinical trial designs, derive related statistical theory, produce software for ... modeling, data analysis, and computation. All duties and responsibilities are carried out in ...

Experience with Bayesian statistical modeling, including Bayesian inference, Markov chain Monte Carlo (MCMC), and causal inference. * Hands-on experience in geospatial data analytics using Esri ...

... models, Bayesian/Causal methods, and LLM-based synthesis. Innovate on generation techniques to improve realism and representativeness, particularly for edge cases and underrepresented distributions.

Experience with Bayesian statistical modeling, including Bayesian inference, Markov chain Monte Carlo (MCMC), and causal inference. * Handson experience in geospatial data analyticsusing Esri ...

... models, Bayesian/Causal methods, and LLM-based synthesis. Innovate on generation techniques to improve realism and representativeness, particularly for edge cases and underrepresented distributions.

What You'll Do 1. Bayesian Machine Learning Models AND Deep learning models to define various allocation optimization, price optimization or fulfillment optimization policies; 2. Time Series Modeling ...

What You'll Do 1. Bayesian Machine Learning Models AND Deep learning models to define various allocation optimization, price optimization or fulfillment optimization policies; 2. Time Series Modeling ...

This position will involve training and fine-tuning LLMs and GeoAI models to analyze geospatial ... Bayesian) spatial statistics, spatial accessibility, and spatial optimization • Knowledge of ...

... and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk ...

... model development, and set a new standard for responsible ML at scale.You'll work at the ... Experience with Bayesian or causal graph-based approaches to data generation.Experience identifying ...

Develop and productionalize ML models for high-impact marketing use cases: LTV (Lifetime Value ... Bayesian A/B testing and causal inference to measure the true uplift of AI interventions. • ...

Research duties for one position will include developing flexible Bayesian approaches to ... Research duties for the second position will include developing new spatial models, computational ...

Research duties for one position will include developing flexible Bayesian approaches to ... Research duties for the second position will include developing new spatial models, computational ...

... model, Bayesian network, deep learning, computer vision, NLP/NLU, reinforcement learning, meta-Learning, federated learning - Technical skills to consider and apply causal reasoning representation ...

... model, Bayesian network, deep learning, computer vision, NLP/NLU, reinforcement learning, meta-Learning, federated learning - Technical skills to consider and apply causal reasoning representation ...

... modeling, SQL, Python or R, and experimentation frameworks. Candidates should possess hands-on ... Bayesian and Frequentist approaches, data visualization platforms such as Tableau, Power BI, or ...

This position will involve training and fine-tuning LLMs and GeoAI models to analyze geospatial ... Knowledge of (Bayesian) spatial statistics, spatial accessibility, and spatial optimization ...

... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...