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Apply now The Mathematical Institute (MI) of Leiden University and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a PhD Candidate in Random Graphs and Complex Networks
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systems (CDSSs), so that their use in the clinic can be subject to rigorous quality control and certification. In this position, you will work on exploring synergies between Bayesian networks and AutoML
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demands while facing staff shortages and limited resources, challenging traditional care delivery. Technology offers valuable tools, but true transformation requires coordinated efforts across a complex
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of this state-of-the-art facility, which is expected to be fully operational by 2035/2036 and will include advanced laboratories for diagnostics and research, cutting-edge biosafety systems, and complex technical
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thesis on a topic relevant to this project. Proven experience in molecular dynamics simulations of proteins or protein-ligand complexes is an advantage.You possess:- A successfully completed MSc degree in
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generating new observations and testing new hypotheses that will illuminate the complex interplay between genome biology, physiology, ecology and evolution. This position aims to investigate bacterial and
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mutualistic and antagonistic insect flower visitors in the greenhouse and in the field. Analyse complex data sets involving e.g. metabarcode sequencing Chemical analysis of flower nectar using HPLC and GC-MS
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experiments with herbivorous insects, plants and microbes Analysing complex data involving e.g. metabarcoding, metagenomics, and metabolomics Isolating and culturing microbes and testing inoculants on insect
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include: Designing and executing experiments with plants, microbes, insects and drought stress Analyse complex data sets involving metagenomics, transcriptomics and metabolomics Manipulate the soil
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and/or Python. Experience in, and aptitude for, complex statistical modelling (inc. mixed effects regression models and/or Bayesian statistics). Excellent written and spoken English. Desirable (traits