126 to 131 of 131 Bayesian Methods Jobs

each stage of the consumer’s lifecycle. Experience overseeing experimentation programmes and practices that inform product or business decisions. A good understanding of methods for statistical inference (e.g. Bayesian, Frequentist) and familiarity with predictive analytics techniques is highly beneficial. Working knowledge of common analytics tools used ...

and develop capabilities while mentoring junior statisticians and building client relationships. The role requires strong expertise in Bayesian statistics, population-adjustment methods (MAIC/ML-NMR), ITCs, and survival analyses, with extensive R and Stan/BUGS programming experience. #J-18808-Ljbffr ...

each stage of the consumer’s lifecycle. Experience overseeing experimentation programmes and practices that inform product or business decisions. A good understanding of methods for statistical inference (e.g. Bayesian, Frequentist) and familiarity with predictive analytics techniques is highly beneficial. Working knowledge of common analytics tools used ...

seeking a Robotics Software Engineer for our Online Calibration team to support scaling across our autonomous vehicle fleet. You will turn calibration and estimation methods into reliable, observable and resource-efficient components of the on-vehicle runtime, operating continuously on constrained, hardware-accelerated platforms. Working across calibration, state estimation … closely related robotics domain, including calibration of cameras, LiDAR, IMUs, vehicle parameters or multi-sensor systems. Strong understanding of filtering and estimation methods, such as Kalman-family filters, Bayesian estimation, smoothing, robust estimation or factor-graph optimisation. Strong modern C++ software-engineering skills and proficiency ...

novel safety evaluations in high-impact domains such as CBRN and Cyber to quantify emerging risks.Executing original technical research in AI safety evaluation methods, taking ideas from concept to publication.Shaping the R&D agenda by identifying strategic opportunities to advance safety evaluation methodology across Faculty and the broader ecosystem.Contributing … testing, jailbreaking, indirect prompt injection, and assessing the robustness of model safeguards.Strong foundational skills in experimental design, statistical analysis, and uncertainty quantification, including Bayesian methods.Deep knowledge of language models, generative AI architectures, training methodologies, and safety mitigation techniques.Solid Python proficiency combined with the engineering discipline required ...

Biostream is seeking a biostatistician with strong Bayesian modelling skills to develop probabilistic approaches for physiological data and medical risk. The role involves integrating data sources to estimate deterioration probabilities and to support triage prioritisation in real-world, noisy settings. You will collaborate with AI engineers, medical ...