Sort by
Refine Your Search
-
., EuroCrops, FAOSTAT). Your qualifications: A completed Master’s degree in Agricultural Engineering, Environmental Science, or Geoinformatics. Sound expertise in remote sensing applications, big data
-
extension, in the programme area "Next-Generation Horticultural Systems" (HORTSYS), in the research group "Open Field Horticultural Systems" within the EU-HORIZON project NitroScope - "Scoping European N
-
such as ecology, economy and social sciences. ZMT aims to use data science tools, including computer vision and deep learning, for the study of rapid changes in tropical coastal socioecological systems
-
environmental sciences, agricultural economics, geography, sustainability science, or similar basic knowledge of statistics and data analysis experience with or willingness to learn agent-based modeling (Python
-
in Bioinformatics, Computational Biology, Biostatistics, Data Sciences or related discipline. Alternatively, PhD in Molecular Biology, Immunology, Biomedicine or related discipline with extensive
-
people and nature. We are looking for an internationally recognized scientist (m/f/d) in the field of computer or natural sciences to develop modern technologies for collection-based research with a focus
-
, Marine Geoscience, Physical Oceanography and Marine Observation) cooperate within the framework of a joint research program. Project and job description Within KOFI, the long-term carbon storage of marine
-
particular emphasis on the Baltic Sea. Scientists at the IOW work across five departments—Physical Oceanography, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations—in
-
, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations works interdisciplinary within a joint research program. What will be your tasks? The successful candidate will work
-
samples, molecular biology analysis of blood cells Cell culture experiments with primary human cells Evaluation of results, including rhythm analysis in time series and omics data Preparation