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