Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
. Applying quantitative and modeling approaches (e.g., paleoclimate, landscape, or ecological niche modeling) to interpret ecosystem dynamics. Contributing to grant proposal preparation and co-authoring
-
in plant genetics, physiology, development and computational modelling. How to apply The application should include the following attachments as a single pdf-file (in English): a cover letter
-
. The template includes a list of publications. Information on the length of your research experience must be clearly visible in your CV. Certified copy of the doctoral degree diploma (PhD or equivalent) or other
-
are studied at different trophic levels combining biochemical and genetic analyses, stable isotopes, field and experimental studies and modelling. JYU research concentrates on studying ionomes (relative
-
changes and challenges. Bioeconomic models are used to study cost-effective adaptation measures under climate change and market-related risks with a particular focus on irrigation, climate-related external
-
algebras, tensor categories, lattice models of statistical physics, conformally invariant random processes, formalization of mathematics (preferably in Lean). The working language of the group is English
-
circuitries in healthy and diseased brain. The topic is investigated at different levels, from molecular mechanisms to behaviour, using animal models and various electrophysiological techniques in combination
-
-making. Team members bring complementary expertise, and by working together we address novel problems that no single approach could solve alone. Multimodal foundation models Key words: multimodal learning
-
of relevant previous degrees. Closing date for applications 31.10.2025 Contact person: Maria Perdomo, MD PhD, maria.perdomo@helsinki.fi A diverse and equitable study and work culture is important to us. That is
-
considered an advantage but is not a requirement. Regardless of the candidate’s educational background, the following are considered an advantage: Understanding of data architectures, data modeling and data