1 to 12 of 12 Permanent Bayesian Methods Jobs

process monitoring Developing soft sensors based on PLS and neural net models to predict slurry particle size and viscosity Implementing Bayesian methods and/or state-of-the-art methods for optimising the Design of Experiments approach. Working with clients to increase their sustainability footprint more »

to solve commercial problems, including, hypothesis testing, feature transformations, dimensionality reduction, correlation analysis, regression analysis (multiple linear and logistic), time series analysis and Bayesian methods. skills - adept in Python and its core data/analytics libraries (including in relation to working with Amazon Dynamo DB), alongside SQL … deep work) and within a team - supportive, collaborative. keen interest in data analytics - bringing to the team, new approaches, best practice developments, and analytical methods from other walks of life. critical thinker and a problem solver. proactive, detail focused, person who is curious and seeks continuous improvement both in more »

years of experience with scientific scripting languages (e.g., Python) and/or object-oriented programming (e.g., C++, Java) 4+ years of experience with Bayesian statistics, regression analysis (beyond linear regression), supervised learning, unsupervised learning or timeseries analysis required Basic Qualifications: Must be able to think conceptually, strategically more »

years of experience with scientific scripting languages (e.g., Python) and/or object-oriented programming (e.g., C++, Java) 4+ years of experience with Bayesian statistics, regression analysis (beyond linear regression), supervised learning, unsupervised learning or timeseries analysis required Basic Qualifications: Must be able to think conceptually, strategically more »

outsourcing statistical activities within a program. Required Knowledge, Skills, and Abilities Expert knowledge of clinical trial design and analysis, including experience with complex statistical methods and models. Experience in using SAS or R; knowledge of other statistical applications and programming languages a plus. Expert knowledge of applicable regulatory requirements … experience is preferred. Expert knowledge of statistical designs of early phase oncology studies Expert knowledge of drug development regulations pertinent to statistical analysis. Bayesian Phase I and Phase II oncology study design experience. Knowledge of clinical pharmacology and translational science preferred. Experience in contributing to IND submissions more »

Science, Maths or similar STEM discipline, ideally to Masters of PhD level Experience of building mathematical or ML data models, and working with Bayesian inference, Monte Carlo, Random Forest etc. models Experience in data research with strong statistical skills Experience in software design and development using Python more »

day duties and responsibilities will include, but won’t be limited to building and improving sports prediction models To research recent advances in Bayesian updating to better extract signals from noisy data To design and build your own models using your own ideas To work closely with more »

exposure to futures products - EU or US - with holding periods intraday and shorter. Technically strong and Python proficient Advanced competence in statistical modelling (Bayesian, stochastic, time series etc.) and/or machine learning. Pre-Application: Please do not apply if you're looking for a contract or more »

and leading in statistics on regulatory submissions, including developing ISE/ISS packages Excellent knowledge and experience of clinical development, study designs, advanced statistical methods (adaptive design and/or Bayesian is a plus), regulatory guidelines (ICH, FDA, EMA) Excellent knowledge of statistical analysis software (SAS more »

or Master in statistics, data science, computer science, mathematics or a related field Strong interest in modeling, probability and statistics (time series predictions, bayesian inference, machine learning among other hot topics) Experience forecasting US sport events Highly proficient in Python and the main data science libraries Interest more »

rate for the right candidate. Hybrid working model - 3 days in office Highly experienced in Python and SQL - as well as time series & bayesian modelling. Background in STEM Financial Services experience preferred but not essential The notice period can be up to 4 weeks (with potential flex more »

at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency more »