Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
of Finland under the supervision of the Academy Research Fellow Marcelo Hartmann and Research Fellow Luu Hoang Phuc Hau (Nanyang Technological University). We have been developing computational algorithms
-
the Research Council of Finland under the supervision of the Academy Research Fellow Marcelo Hartmann and Research Fellow Luu Hoang Phuc Hau (Nanyang Technological University). We have been developing
-
expertise. HUMAIN addresses this gap by developing the online Competence Imitation Game (COMIG), a novel, experimentally validated framework that allows domain experts to interrogate and evaluate human- and
-
algorithm development using Python or equivalent programming languages is considered an asset. Given the highly international and collaborative nature of the research environment, strong presentation and
-
that define real-world expertise. HUMAIN addresses this gap by developing the online Competence Imitation Game (COMIG), a novel, experimentally validated framework that allows domain experts to interrogate and
-
observations. The UH team has developed an approach, where simulation data is projected into observation-space quantities while the workflow is active, enabling both run-time reality check and rigorous posterior
-
, the present research task focuses on evaluation of Climate DT simulation quality via direct use of raw Earth observations. The UH team has developed an approach, where simulation data is projected
-
us plan daily activities and prepare for extreme events. Today, most forecasts rely on powerful computer models that simulate the atmosphere using the laws of physics. These models are accurate but
-
at FIMM, led by Simone Rubinacci, develops methods for large-scale human genomics and statistical genetics. Our work spans algorithm development, cloud computing, and population-scale sequencing
-
starting latest in January 2027 in a fixed term contract of 3 years. Background Weather forecasting helps us plan daily activities and prepare for extreme events. Today, most forecasts rely on powerful