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, wearable and nearable sensor data, continuous glucose monitoring data, self-reported data, and multi-omics analysis to develop predictive models for steroid hormone disorders, particularly adrenal
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); mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; and statistical machine learning. More about the position The position is
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, PBAT, PBSAT, PBSA, Bio-PES) which are used for biodegradable fibres, twines, nets and ropes. The research work of the candidate shall contribute to develop new models and knowledge on degradation
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the overall objective of the PhD work. Some potential specific research objectives: Model the coordination and interactions between power producers and system operators (DSOs and TSO) in scenarios
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or Machine Learning). The Master’s thesis must be included in the application. Ideal Candidate: Demonstrates experience or strong interest in modelling, programming, systems thinking, and qualitative
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Conserved Binding Sites: A Case Study Using N-Myristoyltransferases as a Model System. J Med Chem. 2020). The lessons learned from the validation shall also be used to develop improved methods. About the LEAD
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these challenges by exploring the pharmacokinetics and biodistribution of phages using clinically relevant mouse models and primary human cell cultures. The research will provide essential insights