42 "Statistical modelling" PhD scholarships

PhD Student Causal Machine Learning

modeling techniques. This ERC project aims to bridge this gap by leveraging the flexibility and power of statistical models to accurately represent intervention effects or facets of the causal data

PhD candidate - Using Sensorimotor Processing and Bayesian Modeling to Understand Visual-Field Deficits

deficits, such as those caused by glaucoma. You will make use of experimental and theoretical techniques, such as sensorimotor analysis and Bayesian statistical modeling, to create diagnostic and screening

PhD candidate in Statistics and Pharmacometrics

combination of mechanism-based mathematical models to describe drug concentrations and effects, and statistical models such as nonlinear mixed effect models to quantify and predict variability between patients

PhD fellowship in conservation science - developing and validating indicators of ecosystem integrity

experience in field, database and GIS work on biodiversity and ecosystem processes, such as ecohydrology, nutrient dynamics and carbon pools, as well as statistical modelling will be considered assets.Fluency

PhD scholarship in Building Information Modelling and Automation for Model Compliance with Rule-based Analyses – DTU Construct

Kristoffer Negendahl. We offer an opportunity to develop expertise in various domains, such as advanced building physics simulation techniques, machine learning approaches and statistical modeling

PhD student computational biology / bioinformatics (m/f/d) (ID: 24264)

such as Python, R, C++, or Java and intermediate skills in a statistical modeling or analysis environment like R or Python scipy/scikit learn Prior experience with Unix and bash scripting, previous

PhD Studentship: Using Exposome, Omics, and AI to develop a digital platform for tailoring the care of children with autism spectrum disorders

statistical models and artificial intelligence (AI) algorithms including generative AI. The platform will allow policymakers, carers, and healthcare staff to get tailored psychosocial care plan for individuals

PhD Studentship: Identifying and processing information sources for medical applications under privacy and fairness constraints.

demonstrates good aptitudes in machine learning, statistical modelling, or data analysis (as evidenced through strong academic credentials or research papers in reputable journals/conferences) may be accorded

PhD: Metabolomics of Endocrine Disruptors, Immune-Related Health & Liver Disease

, MASLD, and disease phenotypes (Obesity, Type-2-diabetes) collected in European population studies. You will apply multivariate statistical models and AI-assisted knowledge graphs to guide

PhD position in Engineering

data will be used to develop a statistical model through the use of the DOE application. As a result of Taguchi's approach, this method reduces the number of tests required and enables the design of