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CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm
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transfection work Experience with microscopy Experience with RNA-seq Experience with image and RNA-seq analysis, including competence using R or python and computational clusters Molecular biology techniques
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this research frontier. This project is a key part of our broader initiative to employ innovative, interpretable data-driven analysis methods and significantly advance our understanding of immune cell inter
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, and transformation into diseased states. Yet, combining AI-based analysis of H&E data with spatial omics is only at its very early stages. The purpose of this project is to bridge this gap through
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function of retained trees for lichens will be evaluated. This will be done by field studies, analyses of already collected data, and a meta-analysis of published studies. By working at Kopparfors, the Ph D
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organization and the energy of the future. Our work takes place in collaboration and in strategic agreements with companies, organizations and authorities in the region. Employment Information Type of employment
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of the project, relevant experience in the analysis of ecological, geographic or climate data is a requirement. Knowledge of and interest in biodiversity and ecological processes is also mandatory
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and entire gene circuit Genomic data analysis and system identification techniques Experience with project management at EU level Experience with development of educational courses. Duties The duties
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benefit analysis with more practical aspects, such as implementation and real-world applications, in collaboration with project partners Volvo Cars and Autoliv. About us The project is located within
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having passed exams in areas relevant to the subjects of image analysis and machine learning with a minimum of 90 higher education credits. Relevant courses include, for example, image processing, computer