51 algorithm-development-"Multiple"-"Prof"-"St"-"Simons-Foundation" positions at Umeå University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
project “COPD-HIT”, an international multicenter project aimed at developing and validating an in vitro loading model against in vivo blood and muscle adaptations (biopsies) from individuals with Chronic
-
data is therefore a merit. You are expected partly to implement and support already planned projects and partly to independently plan and implement projects, develop methods and support PhD students
-
of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en
-
at the intersection of computational modelling, cutting-edge analytical chemistry, and experimental toxicology. The overall aim is to develop and validate new computational models to better understand how
-
(such as growth and remodelling), tumor growth and perineural invasion and involves areas of cancer, neuroscience developmental-, cell- and molecular biology and drug development. Description of tasks
-
Horizon Europe. The MIPrecise project aims to develop nano-antibodies and DNA and mRNA probes to capture tumor circulating cells, cancer-cell free-mRNA, cancer-DNA from the blood-based liquid biopsies
-
different backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly
-
expected to address technical challenges associated with developing software systems, i.e., research on techniques, tools, and theories related to development, maintenance, reliability, performance, and
-
. The project is aimed on developing new graphene-related materials, studies of material’s structure and properties, application of these materials for sorption of lanthanides and actinide. The position is full
-
Program for Data-Driven Life Science (DDLS), coordinated by SciLifeLab, aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data