Sort by
Refine Your Search
-
Employer
-
Field
-
public procurement. This research addresses a broad set of topics including optimal taxation and public expenditure, income formation, household responses to taxation and other economic policies, social
-
computational biology with a focus on developing new and scalable computational models (e.g. deep learning, machine learning, optimization or statistics) or integrating data-driven applications to address
-
to development projects. Establishing a research program in translational computational biology with a focus on developing new and scalable computational models (e.g. deep learning, machine learning, optimization
-
landscape, the focus of this position is on process design, system integration, and optimization of performance. Teaching at first, second and third cycle level is a central part of the department's mission
-
and development centre – an excellent infrastructure to develop and optimize membrane processes from lab to pilot scale. The project is part of COMPEL. COMPEL, "COMPetence for the ELectrification
-
SLAMF6, to understand the mechanisms behind their influence on T-cell activation. This research is relevant to optimizing the utilization of these receptors in cancer therapy. The project is highly
-
Subject description Mathematics in a broad sense, which also includes mathematical statistics, numerical analysis and optimization theory. Duties As an associate professor within the framework
-
production. While discussions often focus on whether or not cows should have pasture access, little attention has been given to how these pasture periods should be managed to optimize welfare. This PhD project
-
driving the integration of methods in artificial intelligence (AI) and machine learning (ML) to improve and optimize workflows when developing therapeutic antibodies. Duties – what we expect from you As an
-
predictive of distant metastasis. 4. Apply and optimize AI-ML models based on the large datasets to identify and validate the oncogenic pathways and drug targets for designing targeted therapy. The findings