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computational modeling of pharmaceutical formulations and molecular recognition processes relevant to drug delivery systems. The work focuses on molecular binding phenomena such as host–guest inclusion complexes
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. Workplace Description The Biomedical Engineering Centre at SDU, Odense conducts interdisciplinary research at the interface of biomechanics, medical imaging, robotics, and computational modelling
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Technology, Computer Science, Artificial Intelligence, Data Science, Robotics or any other relevant field, at the time of admission into this PhD program. Students currently enrolled in Master’s programs can apply, provided
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Promoting a Green Transition What we expect: The applicant should have completed a Master’s degree (MS / MSc / MTech / ME etc.) in Software Engineering, Information Technology, Computer Science, Artificial
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with collaborators developing genome-scale and process-level models. PhD position in adaptive responses of complex methanogenic microbiomes (3 years) This position centers on complex microbial
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development, biomass availability, and sector coupling is experiencing significant growth. The group combines techno-economic modelling, system optimization, and infrastructure planning to address real-world
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Job Description The Department of Mathematics and Computer Science at the University of Southern Denmark (Odense) invites applications for a PhD scholarship in computer science under the umbrella
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- cancerous- and neurodegenerative diseases. In the project, patient cells, model- and reporter-minigenes, gene editing and animal models, as well as in vitro RNA binding techniques and bioinformatics will be
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, translational, and experimental approaches. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute
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to understand variability in drug toxicity, drug metabolism and drug transport. Examples of this include cell-based models such as induced-pluripotent stem cells, primary human hepatocytes and clinical studies