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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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health. The candidate must be proficient in the design and conduct of observational studies, statistical data analysis and the critical interpretation of results. Experience in the monitoring or management
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.-level) corresponding to a minimum of four years in the Norwegian educational system Fluent oral and written communication skills in English Solid background in semiconductor physics Strong data analysis
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detailed documentation of experimental protocols, execution, data collection, analysis, and interpretation. Requirements BS 6+, MS 4+, PhD 0-2 years of research experience in immunology, cell biology, or
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Multi-omics integration Mass spectrometry-based metabolomics NGS Data Analysis Programming proficiency in R or Python Training and Mentoring Junior Scientists Strong scientific communication Excellent
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to knowledge in one or more of the following areas: machine learning, cybersecurity, or computer systems Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in
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, programmers, and interdisciplinary collaborators. Minimum Requirements: Graduate degree (PhD or Master’s degree) in biostatistics, bioinformatics, computational biology or a related quantitative field OR
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: (a) graduate-level courses that cover the fundamentals of scientific programming, quantitative data analysis, and statistics; and (b) modular short courses and workshops that cover more advanced topics
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comprehensive platform for data extraction, analysis, and version control, providing access to highly curated datasets in a machine learning-friendly format. This PhD is part of the CARES project (Chemically
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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining