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and greenhouse gas emissions associated with cold storage of tubers. About You You will be educated to doctoral level in remote sensing, agricultural engineering, geospatial science, bioinformatics
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) Practical fluency in Bioinformatics approaches (e.g. DepMap, Ensembl, StringDB) is a significant advantage Proactive, adaptable and enthusiastic about learning new concepts and technologies Excellent and
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understanding of plant-microbe interactions in extreme environments. This is part of your personality: We are looking for a highly motivated candidate with: a MSc degree in plant biology, bioinformatics and
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interest for cell culture model systems, signal transduction and bioinformatics Methodological skills: chromatography, mass spectrometry, basic knowledge of bioanalytical chemistry Expertise on data analysis
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A search for pharmacological inhibitors of a cancer-associated adhesion GPCR in the zebrafish embryo
are seeking a motivated student with interests in developmental biology, disease modelling and drug discovery. This interdisciplinary project combines both wet bench work and computational work (bioinformatics
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cytoplasmic mRNA localisation regulating synaptic plasticity of adjacent neurones in health and disease (available as IPhD) Supervisor: Ilan Davis MSc choices: Bioinformatics Project description: Synaptic
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conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics, computer science, statistics, or a related field together with strong programming skills in Python, R
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will be educated to doctoral level in remote sensing, agricultural engineering, geospatial science, bioinformatics (or similar relevant subject) and have research experience in plant science. With
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sequencing and SNP detection. The student will join a vibrant microbiology group in Sheffield and receive a broad training in molecular and microbiology as well as imaging and bioinformatics. Academically
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learning model trained on known G4 topologies. Methods to be used: Structural Bioinformatics: Extraction and annotation of known G-quadruplex (G4) structures from the Protein Data Bank (PDB) using