Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
of simple desktop or mobile applications. Additional responsibilities will include 3D CAD modelling, designing and conducting functional and validation tests of printed-electronics solutions, and designing
-
bioinformatician to join the Evolutionary Processes Modeling group. The selected candidate will be responsible for the analysis of DNA sequencing data derived from a unique cohort of animal tumors. Responsibilities
-
Job Title: Associate or Senior Editor, Nature Progress Oncology Location: Shanghai, Beijing or Pune, Hybrid Working Model Application Deadline: Mar 17th, 2026 About Springer Nature Springer
-
Job Title: Deputy Editor, Communications Medicine Location: Shanghai, Beijing, Hybrid Working Model Application Deadline: Mar 26th, 2026 About Springer Nature Springer Nature is one
-
to study grid stability, fault propagation, and recovery dynamics. Analyzing control and protection strategies using high-resolution time-domain models. Developing dynamic models for grid-forming and grid
-
NOTICE 4008/2026/2| Ass.Inv.1.2026-DCEA | RESEARCH ASSISTANT | ENVIRONMENTAL SCIENCE AND ENGINEERING
management entities; f) Be fluent in spoken and written Portuguese. VI - Application procedure The application must be completed by filling out the respective application form, which is available at https
-
that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.edu/studies/phiv ) You must be fluent in spoken
-
Title: Associate or Senior Editor, Nature Computational Science Organization: Nature Portfolio Location: Shanghai, Beijing, Berlin or Pune - Hybrid Working Model Closing date: March 20th, 2026 About
-
modeling/mapping and methodology development, and data mapping. Technically fluent in at least one programming language. Direct, hands-on experience with automated integration tools, including Microsoft SQL
-
, high-temporal-resolution signals that naturally support early detection Gallego et al. (2020); Abderrahmane et al. (2020). At the same time, attention-based models have demonstrated strong capabilities