Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
in 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
-
the development of computational methods for genetics, high-throughput omics data and causal discovery. Our interdisciplinary and international team is jointly located at DKFZ and EMBL Heidelberg, and
-
molecular biology, microbiology, biochemistry techniques in the area of Salmonella biology and pathogenesis. Managing large data sets, synthesizing and integrating different types of data to come to
-
, amusement parks, premier arts and cultural centers, and industry leaders makes UCI a destination unlike any other. Postdoctoral applicants should submit a cover letter, curriculum vitae, publications, and
-
The Department of Mathematics and Mathematical Statistics, Umeå University, invites applications for a two-year postdoctoral fellowship in data-driven analysis of a subarctic ecosystem near Kiruna
-
, computer graphics, autonomous and assisted driving, neuromorphic computing and sensing. How to Apply Interested applicants must submit via the Heriot-Watt on-line recruitment system: (1) a cover letter
-
) and cover a wide range of innovative topics, from the development and validation of novel methods, algorithms and EO products to innovative climate research; the development of improved climate data
-
team of the TransEuroWorkS project. By June 2025, the project has been running already for two and a half years. During this period, the team at Leiden University has acquired and created different types
-
achievements in meeting (or the potential to meet) the criteria set out above A research statement of up to two A4 pages, if not incorporated in the cover letter Contact Information Department contact
-
processes for data standardization, data warehousing, quality assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data