Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
an interdisciplinary research environment aimed at achieving a comprehensive understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working
-
how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and synthetic biology. Apart from shedding light on
-
understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working with data-based models and numerical dynamo simulations
-
. The ideal candidate will also be expected to have quantifiable experience with: A variety of different neuroimaging methodologies. Using multiple programming languages, including R, Python, MATLAB and
-
, and work closely with the project team to manage and coordinate different aspects of the project as outlined below:- assist the project team with the design and implementation of professional
-
: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs
-
different brain models (tree shrew, macaque, human neurotypical, schizophrenia patients) and levels of analyses (local- and large-scale circuits). This is a unique opportunity to learn about team science
-
interpretation (see https://solid-symposium.github.io/2025/ for examples of interdisciplinary research in this space). We seek candidates with a Ph.D. in Linguistics, Computer Science, Cognitive Science, or a
-
. The Department of Computer Science and Informatics provides academic programmes in subjects ranging from software engineering and embedded systems to user experience design and cybersecurity, and is also
-
, Fisheries Science, Biology, Zoology, Biological Oceanography, Mathematics, Statistics, Computer Science, or related discipline Knowledge of modeling ecosystem and/or social network dynamics Strong