Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
Job Description If you are establishing your career as a scientist and are looking for a solid foundation to fulfill your dreams and ambitions in the context of single-cell biology, it is right here
-
-teaching program of international level, in order to meet the research and teaching challenges of UM6P, in particular on green and environmental chemistry applied to all aspects of chemical sciences: organic
-
); units such as onboard computers, mass memories, remote terminals and instrument control units*; digital and analogue signal processing electronics for payload/platform functions; front-end acquisition and
-
Engineering, or Electrical Engineering or Computer Science/engineering with a focus on network communications Good understanding of the 3GPP 5G radio access and core network protocols Proficiency in multiple
-
. Demonstrated understanding of numerical coastal wave modeling and application to coastal engineering, (e.g., erosion control structures). Familiarity with different scenarios for sea level rise, coastal
-
to develop coupled sub-models within a system dynamics framework. Working with colleagues from the Karlsruhe Institute of Technology, the candidate will build a behavioural sub-model using the CRAFTY GB model
-
– at Umeå University, which hosts a Centre of Excellence focused on living systems under stress. IceLab brings together early-career and senior researchers from the life sciences, computer science, physics
-
additionally learn a cutting-edge technique called cyclic immunofluorescence (CyCIF), which allows spatial resolution of different cell states within a tissue in order to understand how tumors are organized and
-
includes characterizing and engineering diverse models and their relationships with underlying data coming from different stakeholders pertaining to the key impacted domains. Additionally, model engineering
-
methods to improve prediction model generalizability, model fairness, and generalizability of fairness across different clinical sites. The researcher will have the opportunity to use machine learning and