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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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, Department of Physiology Analysis of biological and experimental data Preparing manuscripts that meet the requirements for publication in international journals and compile them into a doctoral thesis in
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for PFAS for Norwegian conditions. The data from the PhD-student will focus on the understanding of uptake mechanisms of PFAS and lay the foundation for the risk assessment that will primarily be done
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master’s degree with academic qualifications in digital health, data analysis, and/or machine learning applied to health research. Admission to the PhD program requires a 120 ECTS master’s degree, including
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groups within chemistry and biochemistry, microbiology and microbial gene technology, bioinformatics and data analysis, food science and nutrition. The Faculty has a state-of-the-art infrastructure
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selection criteria Knowledge of quantum communication / quantum information fundamentals (e.g., entanglement, fidelity/noise, quantum repeaters) Experience with network modelling, performance analysis
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Master’s degree in a relevant scientific field, such as soil science, environmental science/chemistry, ecology, or agronomy. Strong academic record in statistics and data analysis. The following experiences
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thesis projects), research support (such as data management/analysis), administration and outreach work. Required duties for the successful candidate will be specified upon employment. Other duties may be
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, and digital building technologies Experience with or motivation to learn programming and data analysis (e.g. Python, R) Personal suitability and motivation for the position Qualifications considered
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15th May 2026 Languages English English English The Department of Information Security and Communication Technology has a vacancy for a position as PhD Candidate in Scalable and Resilient Quantum
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. Qualifications considered an advantage Experience with fermentation, starter cultures, or food processing Experience with proteomics, omics data, or bioinformatics. Experience in food analysis or microbial