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English English PhD Research Fellow in Machine Learning and Distributed Data Processing Apply for this job See advertisement Job description Position as PhD Research Fellow in Machine Learning and
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questions concern the role of previously acquired languages and the impact of linguistic distance in this process. An additional relevant issue is how parallel language learning is shaped by the local
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analysis, bioinformatics or in a closely related field (a solid background in applied statistics must be documented) Documented extensive experience in R (or equivalent programming languages) A solid
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-DNA analyses, bioinformatics, and use of GPS-tracking in the field. A strong insight into Norwegian nature management processes, frameworks and measures (e.g. MPAs, OECMs, marine important seabird and
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programming or scripting languages (e.g., Bash, R, Python) for data processing, statistical analysis, and bioinformatics workflows. Experience working in high-performance computing environments is an advantage
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computer science, systems engineering, cybernetics, applied mathematics or another relevant degree at the same level, and applicants must also have a specialization in signal processing, bioinformatics, simulation
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specialization in signal processing, bioinformatics, simulation/visualization, or dynamic systems, or have the doctoral thesis submitted prior to the application deadline. It is a condition of employment that
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follicle activation in the human ovary was a reversible process. This groundbreaking research addresses key gaps in ovarian biology and seeks to develop novel strategies for fertility preservation in women
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an equivalent foreign doctoral degree approved as equivalent to a Norwegian doctoral degree Applicants must have a relevant PhD degree in plant sciences, computational biology, bioinformatics, data science, or
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, immunoprecipitation and confocal microscopy. Experience with cancer organoid models and/or bioinformatics is an advantage. We offer broad training possibilities in the required experimental methods within a stimulating