Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
-
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
-
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
-
. 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
-
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
-
advanced AI/LLM methods. The Staff Scientist will lead development of LLM-powered analysis and knowledge tools (e.g., retrieval-augmented generation over omics + literature, automated data-to-insight
-
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
-
tissue cutting Techniques: In situ multiplex immunofluorescence, immunohistochemistry and transcritptomics tissue culture and development of 3D culture models infection with ex vivo primary material
-
The Department of Chemistry is opening a PhD position in Chemistry with a specialization in biochemistry. The thesis project will focus on electron microscopy (EM) method development using focused