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invites applicants for four PhD Fellowships in subsurface characterization within geosciences, reservoir engineering, molecular modelling, and machine learning at the Faculty of Science and Technology
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competent candidate with strong experimental background in molecular biology and/or epigenetics that can work independently. The candidate should be able to collaborate in a research team of national and
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dissecting the functionality of different EV subsets. Methods include, but are not limited to, in vitro culture of primary human cells and cell lines, organ-on-chip models, molecular biology, diverse
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. Desired: Familiarity with statistical and machine learning techniques. Knowledge about molecular biology and/or gene regulation. Experience with nanopore sequencing, Hi-C, ribosome profiling, or CAGE data
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to complete the final exam. Desired: Familiarity with statistical and machine learning techniques. Knowledge about molecular biology and/or gene regulation. Experience with nanopore sequencing, Hi-C, ribosome
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processes as droplets/condensates wet membrane compartments in cells. Numerical simulations and theoretical membrane models will be developed, aiming to couple viscous interfacial fluid flow, elastic
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chemistry, biochemistry, molecular genetics, bioinformatics and advanced technology development. Through their direct association with established medical research centers (NeuroSysMed with a focus on
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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