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animals. The department's researchers work on the entire scale from molecular mechanisms and microbiology to the structure, function and behaviour of animals, and how these are affected by breeding, physical activity, care
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are used in beauty and hair care formulations to provide functionalities including pH, stability and viscosity control, sensory profile, texturing and structuring. In this project, we are seeking to develop
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. It is essential that they are knowledgeable in current behaviour change science and techniques and specifically have experience of designing topic guides and administering in-depth, semi-structured
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into the genomics of population structure and speciation in the Malawi cichlid genus Labeotropheus. This post will build on past work in which over 1000 samples of Labeotropheus from multiple species/populations have
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formulations to provide functionalities including pH, stability and viscosity control, sensory profile, texturing and structuring. In this project, we are seeking to develop the next generation of biopolymer
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to therapies and vaccines against human diseases. We are a team of highly interactive investigators that have expertise in immunology, molecular biology, virology, microbiology, structural biology, computational
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improvement, structure analysis, model building, and validation. Specific areas of research are investigation of multiprotein-nucleic acid complexes that are important in transcription, nucleoid associated
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of Chemistry (Inorganic Chemistry). Our group investigates fundamental questions in bioinorganic chemistry using advanced spectroscopic techniques to understand the structure and reactivity of complex metal
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or additional language structures (at the phonological and/or morphosyntactic level) by adults. The successful candidate will work within a research project hosted at Masaryk University and investigated jointly
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of a combination of multi-omics data from the gut microbiomes of patients with Alzheimer’s disease or Parkinson’s disease. The candidate will use state-of-the-art in silico protein structure prediction