197 programming-language-"St"-"Washington-University-in-St"-"St" positions at Nature Careers in Germany
Sort by
Refine Your Search
-
journals of the field. German and English language proficiency; deep knowledge of the German academic & funding landscape (extramural funding). Strong project-management, communication, teamwork and
-
experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and machine learning methods in the context of biological systems Experience with programming (e.g
-
data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will
-
with mult-omics data integration is a plus. Proficient programming skills (e.g., Python, Bash, R), with familiarity in machine learning frameworks and version control (Git); capable of writing clean
-
to contribute substantially to teaching in the Master's program “Functional Plant Sciences”. Supportive participation in teaching on nature and species conservation as well as evolution is desired. The language
-
knowledge of hydrology and soil science basic knowledge of plant physiology and forestry ability to teach at BSc. and MSc. level (including teaching in English) experience with the use of a programming
-
Job Id: 10797 Limited to 2 Years | Full-time with 38.5 hours/week | German salary grade E 13 TV-L | The medical faculty in collaboration with the mathematics department of the University of Münster
-
protein biochemistry, single particle cryo-EM or cryo-ET is an asset, curiosity and willingness to learn new methods and adjust to technological developments a must. Strong written and oral communication
-
of Collaborative Research Centers and Research Groups, the German Centers for Health Research, the Center for Personalized Medicine as well as the Clusters of Excellence at the University of Tübingen. In the field
-
, or biomolecular systems. The research program should connect to the wider Bonn science landscape and should facilitate close collaborations within the Department and the university’s Transdisciplinary Research