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. Application of Bayesian mixing models to investigate consumer diets and food web pathways Requirements To meet the general entry requirements you must have been awarded a second-cycle (Master’s) qualification
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chromatographic techniques. Integration and synthesis of previous data with newly collected data on fatty acids, cyanotoxins, and stable isotopes. Application of Bayesian mixing models to investigate consumer diets
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numerical modelling and programming as well as experimental work is a merit Experience from industry is a merit About the employment Fixed term position 48 months, in accordance with Chapter 5, Section 7
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journals. The tasks will include laboratory tests, analysis of data, and modeling. Qualifications To be eligible, you must have a master’s degree in materials science or chemistry. You should have basic
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a leading research centre in industrial mathematics, modelling, simulation, optimisation, and data analytics. We operate at the interface between academic research and industrial needs, often in
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state-of-the-art genomic and epigenomic approaches to study chromatin dynamics in human cells and stem cell-derived neuronal models. The project will generate fundamental insights into the chromatin-based
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will be broad, but primarily include: Analyzing large data sets for input into assessments and biological advice Follow the development and support the transition to next-generation assessment models
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modeling of protein dynamics We are seeking a highly motivated PhD student to join a DDLS-funded project at the interface of structural proteomics, protein biophysics, and machine learning. The position is
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communication. The PhD student will have opportunities to develop skills in experimental design, laboratory and field research on animals, statistical modelling and programming, evidence synthesis, climate
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revisited through mutual feedback and open communication. The PhD student will have opportunities to develop skills in experimental design, laboratory and field research on animals, statistical modelling and