Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
related field experience with numerical models and/or large observational datasets strong skills in scientific programming (e.g. Python, Fortran, or similar) ability to work independently and in
-
analysis is expected; familiarity with scientific programming environments (e.g. Python, R, or similar) is highly desirable Interest in policy-relevant science and sustainability frameworks Strong motivation
-
, you should: Have a PhD in some area of nucleic acid research preferably with bioinformatic or computational focus. Have expert knowledge in working with and developing bioinformatics tools in Python
-
Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
An ability to take initiative, develop, and manage research activities Proficient quantitative skills with data analysis and programming e.g. in R and python Documented experience in scientific writing and
-
skills in Python and experience with deep learning frameworks (e.g., PyTorch); Experience with distributed systems and edge AI; Strong publication record in reputable conferences or journals relative
-
programming language (e.g., R, Python) Who we are At the Department of Agroecology, our main goal is to contribute to sustainable solutions to some of the world’s biggest problems within the areas of soil
-
journals. Proven experience with large-scale genomics or functional genomics datasets. Strong programming skills in Python and/or R, with experience in version control (e.g., Git) Familiarity with machine
-
, animal handling, experimental stroke models / behavioural testing, and programming skills in R or Python A strong publication record and high motivation to work at the interface of vascular biology and
-
experience in processing large data sets (preferably using R or Python) Highly motivated and eager to work in an interdisciplinary marine research environment Excellent communication and teamwork skills, with
-
, or a related field Strong experience in spatial and/or landscape modelling Proficiency in R and/or Python Experience with GIS and remote sensing Ability to work with large and heterogeneous datasets