Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
adherence to regulatory, coding, and billing standards. Additionally, this role will support compliant net revenue realization while proactively identifying and mitigating revenue leakage across the clinical
-
imaging). Basic coding familiarity (Python, Julia, R, or Matlab). Excellent oral and written communication skills, including the ability to analyze data and prepare figures suitable for publication. Strong
-
epigenetic basis of GI cancers (e.g., aberrant DNA methylation, histone modifications, and non-coding RNAs). Understanding the biological implications of gut microbiome and its translational application is
-
environments High proficiency in writing code for data analysis (e.g. using R / Python) and using relevant software Demonstrated capability of writing for publication in high-impact academic journals Excellent
-
Ecology with a focus on Soil-atmosphere interactions (Reference code 249) Working time: 40 hours per week Term of the employment relationship: 1st of May 2026, limited to a period of 6 years Workplace
-
a focus on long-term socio-ecological research (Reference code 248) Working time: 40 hours per week Term of the employment relationship: 1st of March 2026, limited to a period of 6 years Workplace
-
scientific publications at major international peer-reviewed venues of core machine learning research. Strong scientific programming skills demonstrated by contributions to public code repositories or released
-
Career position in compliance with § 99 (5) UG (tenure-track) in the field of Sustainable Hydropower
the field of Sustainable Hydropower (Reference code 225) Working time: 40 hours per week Term of the employment relationship: 1st of February 2026, limited to a period of 6 years Workplace: Vienna Allocation
-
Chemistry of Foods (Food Physics) with a focus on Food Structure (Reference code 226) Working time: 40 hours per week Term of the employment relationship: 1st of October 2026, limited to a period of 6 years
-
epidemiology, pharmacogenomics, statistical genetics, or population genetics and experience in statistical and computational analyses of high-throughput omics data Ability to code in one or more scientific