Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
-
. To achieve this, we create a rich AI-training dataset for multi-modal inferences, combining computer-vision, environmental parameter measures and DNA data. Your Tasks Participation in fieldwork in Germany
-
, Marine Geology and Marine Observation works interdisciplinary within a joint research programme. What will be your tasks? This position will be embedded in the overarching programme “STB - Shallow Water
-
-responsive proteins to develop genetic switches and circuits in therapeutically relevant bacteria. Your tasks: Use computational tools to design protein structures with desired properties Produce
-
on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
-
, weighing and chemical extraction Data entry and evaluation Literature research Your qualifications Enrolment in a Bachelor’s or Master’s degree programme in environmental or natural sciences or equivalent
-
for a doctoral candidate with the following qualifications: Master's degree in meteorology, physics, mathematics, computer science or an equivalent scientific or mathematical discipline Very good
-
modelling to evaluate additive and interaction components of mixture performance. Your qualifications and skills: Ideally, you are enrolled in a Master’s program in plant sciences, crop science, plant
-
, both written and verbal Knowledge of German and/or a willingness to learn Computer/programming literacy, for example in R, and/or software used in image processing (Adobe Photoshop, ImageJ etc.) Ability
-
coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems