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Department of Plant Breeding At the Department of Plant Breeding, we conduct research, education and innovation work of strategic importance for society's long-term access to food, industrial raw
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: Mathematics, Mathematical Statistics and Computational Mathematics. The research at the Division of Computational Mathematics covers many different areas in numerical analysis, symbolic computations
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analyses of spatial multiomic data from clinical samples and compiling the results, conducting experimental work, including data collection, analysis, and presentation of findings, carrying out bioinformatic
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silviculture or ecological surveys, ability to work independently in the field, skills in GIS and R-statistical analysis, and good communications skills in written English. A drivers license is a necessity for
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network. Analysis of reflected signals provide information about the Earth's surface, which allows monitoring of the environment. This position is a unique opportunity to work at the crossroads of satellite
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, bacterial genetics, and genome sequencing and analysis are merits. Previous use of advanced microscopy techniques and image analysis, high-throughput cell/molecular biology and analysis of large datasets
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to create secure, autonomous and developable solutions that interact with each other and their surroundings, from the edge to the cloud. Project description For this work, you will be working as part of a
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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This project will investigate cardiovascular disease in individuals with diabetes, primarily through genetic analyses in large patient and population cohorts. Work duties and responsibilities The main tasks of a
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Are you passionate about applying computational approaches to solve problems in biomedicine? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a cutting-edge