16 phd-in-statistics positions at ETH Zurich

Staff Bioinformatician/Computational Biologist

of PhD students and postdocs at the IMB by applying (and/or advising on) appropriate biostatistics and modelling methods for the analysis, integration and visualization of omics data (e.g., genomics

Postdoc on resilience of forests to air pollution and climate extremes

extremes under different air pollution along a climatic gradient in Europe. Moreover, we will use statistical (e.g., random forest, generalised additive models) and process-based (e.g., SPA) models

PhD Positions on the Application of Generative AI in Customer Service

and communication strategies. This ambitious project invites passionate PhD candidates to contribute to pioneering studies that merge theoretical insights with practical applications, marking a

Junior Researcher in Economic and Social Policy Evaluation

the statistical software package Stata and/or R (Python is a plus) Prior experience with data cleaning and management Fluency in German and English Excellent writing skills (in German and English) Very good

PhD position: In vivo gene editing and functional genomics to interrogate brain development and function

of fundamental and disease-focused areas. To advance these efforts, the Platt group  is recruiting a full-time (100%) PhD Student to develop and apply in vivo functional genomic methods. Project

Doctoral researcher (PhD Position) in Data Science: Mental Resilience in the Digital Age

science, statistics, applied mathematics, or related fields Proficiency in developing and deploying machine learning models (e.g., using Python, R) Experience in data wrangling and feature engineering

PhD position: In vivo gene editing and functional genomics to interrogate brain development and function

of fundamental and disease-focused areas. To advance these efforts, the Platt group is recruiting a full-time (100%) PhD Student to develop and apply in vivo functional genomic methods. Project

Lab Automation Scientist

range of expertise, from software engineering and biomedical data management to statistical and bioinformatics services. Embedded in this multi-disciplinary facility, the screening and lab automation

Coordination Doctoral Program in Plant Sciences at Zurich-Basel Plant Science Center

skills as artificial intelligence and machine learning, statistics and modeling. Job description We search a 50-60% coordinator to further develop the curriculum of the Doctoral Program in Plant Sciences

Postdoctoral Researcher in Explainable Machine Learning for Health Status Monitoring and Modelling

experience in Machine Learning with a PhD degree from a university in Computer Science, or related fields, with a proven track record in statistical machine learning, deep learning, and graphical modelling