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if you need it. Apart from selecting the right candidates, we will only use the information for anonymous statistics. UiT via Unsplash UiT We offer Involvement in an interesting research project Good
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research network Your profile Master’s degree (or equivalent) in a quantitative discipline, Earth system/environmental sciences or engineering, physics, mathematics/statistics, computer/data science
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appeal must address the appeal to the Selection Jury. Non-Discrimination and Equal Access Policy The Higher Institute of Statistics and Information Management of the Nova University of Lisbon – Information
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will combine digital twins based on established process designs and process engineering fundamentals with data-driven optimisation techniques, specifically Bayesian statistics and Bayesian optimisation
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candidate will help with: Metadata acquisition and curation of the data collected Data acquisition and storage for metabolomic analysis Performing quality control on the data produced Statistical analysis and
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for the research topic described above. This paragraph should start with the words “Suitability for research topic:”. Your qualifications You have graduated at Master’s level in machine learning, statistics
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develop cancer biomarkers through statistical models, including AI driven strategies, to predict highly aggressive tissue molecular signatures for mapping future GBM relapse, linking imaging features
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complete, a master’s degree in computer science, mathematics, statistics, IT, engineering, biotechnology, bioinformatics, economics, or a related field. Experience with programming in Linux environments
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the research project leading to the Ph.D. degree. Good written and oral proficiency in English Good results in advanced courses and applied work in statistics preferably using Stata/R Desired qualifications: A
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design and data analysis. Good to advanced experience in electro-bio-physiological (EEG, Eye Tracking, biosignals) data analysis and statistics. Excellent written and oral communication skills in English