Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
ability. Additional requirements Very good oral and written proficiency in English. Documented research in advanced process engineering and applied computing technology, e.g. modeling, simulation
-
intracellular or extracellular bacteria. Analysis of DNA damage markers, levels of m6A machinery (writers, erasers and readers), and host cell response in 2D and 3D culture models by biochemical and imaging
-
of the Abisko Hype according to the research agreement between Umu and SMHI, b) be responsible to prepare data for Abisko-HYPE setup and carry out model simulations, c) be responsible to design and execute
-
on the following criteria: Knowledge in electric power engineering, power electronics, and power system analysis Experience in modelling, simulation, and experimental work Proficiency in Swedish and English, both
-
-planning of timber production and nature conservation, two important objectives in forestry. The work involves developing knowledge and tools for habitat modelling through 1) mapping existing habitats, 2
-
level in electrical engineering, electromagnetic engineering, wireless engineering, engineering physics, applied physics, a closely related field. Good command of electromagnetic simulation tools such as
-
spinal cord as a model system. You will engage a systematic strategy to identify these mechanisms by generating innovative mouse genetic strains, identifying embryonic defects and the underlying molecular
-
results into practical applications for end users. Subject Description The research aims to develop machine learning models for microbe detection, focusing on the mathematical foundations in geometry and
-
-throughput measurements of molecular binding with simulations and quantitative modeling to gain a physical understanding of life at the molecular level. We are recruiting a Postdoctor that wants to use and
-
systems, or network analysis. Experience with methods for causal inference, or modelling of biological systems is also considered a merit, along with prior work involving large-scale sequencing data such as