26 to 29 of 29 Bayesian Methods Jobs

Statistician

Hiring Organisation
The Bio Collective | B Corp™
Location
United Kingdom
reimbursement agency, or academic institution (pharma affiliate experience is a plus). Demonstrate in-depth knowledge of Access and HTA, clinical research and development methods, and international payer evidence requirements. Skilled in research design and statistical methods, such as Generalized Linear Models, Survival analysis, Network Meta-Analysis, andBayesian statistics and are proficient in R and GitLab (experience with SAS, Python, WinBUGS, JAGS, or other relevant statistical software is a plus). Strong strategic, collaboration, and communication skills, strong organization, planning, and prioritization skills with an ability to meet tight deadlines, and strong written and ...

Data Analyst

Hiring Organisation
AutoTrader UK
Location
Manchester, UK
knowledge sharing across the discipline. What we're looking forExperience as a Data Analyst (or similar role) within consumer-facing product teams Experience applying methods for statistical inference (e.g. Bayesian, Frequentist) and analysing A/B tests Experience in planning and completing analytical tasks on time ...

Senior Data Analyst

Hiring Organisation
AutoTrader UK
Location
Manchester, UK
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 ...

Tenure Track Assistant Professor in Process Robotics in Bioprocess Engineering (f/m/d)

Hiring Organisation
Technische Universität München (TUM)
Location
München, Bayern, Germany
Employment Type
Permanent
Salary
EUR Annual
promotion of early-career scientists. Expertise in an interdisciplinary field combining bioprocess engineering, automation, and process optimization . Application of modern robotics methods , such as: Stochastic and data-driven learning approaches Precise monitoring and control using microcontrollers (μC) Novel methods of image processing Research experience … following areas: Machine learning (e.g., deep learning) for process models Optimization of bioprocess development workflows across different scales (e.g., multi-fidelity Bayesian optimization) Teaching responsibilities in bachelor's and master's programs , including courses such as: Industrial Biotechnology Pharmaceutical Bioprocess Engineering Qualifications Demonstrated initial scientific achievements and ...