Sort by
Refine Your Search
-
You will gain comprehensive experience in SAW technology, NEMS/MEMS, and material science. The project will prepare you for further career advancement in both industry and academia. You will work under
-
gain comprehensive experience in SAW technology, NEMS/MEMS, and material science. The project will prepare you for further career advancement in both industry and academia. You will work under the
-
The Network Analysis and Modelling uses machine learning to investigate how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. We are seeking a
-
to leverage high-throughput phenotyping to create knowledge about plant function at the physiological level and use forward genetics approaches to unravel the genetic architecture of root traits. Our most
-
highly desirable. As an international research institution, we require a willingness to work in a team and to network with scientific institutes and industrial partners, as well as confidence in the use
-
hold a MSc in plant science, crop science, biology, or related field. You have experience growing, managing, and phenotyping plants in the field and greenhouse. You have experience using modern
-
-Curie Doctoral network METAMIC 3 - Metaproteome-based leveraged microbiome management in the context of One Health. METAMIC 3 is funded by the European Commission under the Horizon Europe framework
-
The position is to be filled within the Marie Skłodowska-Curie Doctoral network METAMIC 3 - Metaproteome-based leveraged microbiome management in the context of One Health. METAMIC 3 is funded by the European
-
, and other scientific events Your qualifications and skills: You hold a MSc in plant science, crop science, biology, or related field. You have experience growing, managing, and phenotyping plants in
-
. This research direction requires advancements in modern probabilistic tools, including spatial random graphs, random walks, and Markov chains. The position is hosted in the Leibniz Junior Research Group