Sort by
Refine Your Search
-
Department of Evolutionary Anthropology (IEA) Professorship for Evolutionary Anthropology and Primatology 100% We are seeking candidates in the field of Comparative Evolutionary Anthropology and
-
, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted to complex 3D underground geometries. The research will be conducted in close
-
of interest include, but are not limited to, biotic interactions, community ecology, conservation biology, ecological modelling, and eco-evolutionary feedback loops. The successful candidate will develop
-
of mathematics, computer science, and evolutionary biology. We develop methods to understand evolutionary, ecological, epidemiological, and developmental processes on different scales based on genetic data. In our
-
postdoctoral researcher with a strong background in sequence bioinformatics, algorithms and data structures. The successful candidate will join an interdisciplinary effort developing innovative diagnostic
-
: developing systems where algorithmic decisions can be traced and audited; ensuring that outcomes are verifiable against standards and rules; (ii) transparency and explainability: creating interpretable models
-
the group's team-teaching activities. Your profile Applicants should hold an MSc degree in plant sciences, evolutionary biology, environmental science, or related fields. We are looking for a motivated and
-
independently by two different Starship transposons, Sanctuary and Horizon with evidence of other captures in other fungal species. We seek to understand the evolutionary history and horizontal transfer
-
looking for a skilled Research Engineer to develop and deploy cutting-edge reinforcement learning (RL) and imitation learning (IL) algorithms on real-world robot platforms. The project requires hands
-
interested in applied machine learning and computer vision at the intersection of research and industrial deployment. Job description Develop and implement state-of-the-art computer vision algorithms