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Field
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Arabidopsis thaliana or other plants Documented applied skills in molecular biology techniques (cloning, transformation) Documented applied skills in plant cell imaging Documented training in Python and/or R
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the decay radiation is used for diagnostic and/or treatment purposes. Unlike external beam therapy, which is used to irradiate a tumor in a predetermined sites in the patient, the biomolecules employed by
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data-driven (AI/ML) approaches to analyse polymer physicochemical properties and degradation behaviour across different environments, with the aim of identifying key molecular-level design principles
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to NeuroPathways Familiarity with quasi-experimental methods for causal inference Familiarity with administrative register data or other types of big data Familiarity with R, Stata, Python, or other relevant
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for learning about models from data, 2) incorporation of expert knowledge in model building through Bayesian prior elicitation, and 3) develop new methods for identification of conflicts in different parts
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conducting the following activities: - Analyze the sensitivity of the seismic hazard model to parameters such as ground motion prediction equations (GMPEs) and site effects. - Investigate differences between
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for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defense are eligible for appointment. Programming skills in GAMS and Python. Experience with HPC. Experience with
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knowledge of handling sequence data from RNA-seq or other NGS-based approaches. Experience with data analysis in Python/R. Experience with experimental work on plants or other eukaryotic organisms in
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., Seurat, Scanpy, DESeq2). Experience with spatial transcriptomics and multi-modal data integration is highly desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong
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the Norwegian educational system A solid background in machine learning, mathematics, linear algebra, and/or statistics is also required Solid knowledge and experience in Python programming Experience with