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Field
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Partnership in collaboration with Hitachi Europe Ltd, developing engineered proteins for carbon upcycling and sustainability. The role holder will collaborate with computational and biological scientists
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molecular biology, quantitative imaging and biophysical approaches to investigate cell shape changes in cultured cells and in vivo. Current projects in the lab include investigating the regulation
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. Preferred qualifications: D. in Quantitative Genetics/Genomics, Computational Biology, or Related Discipline. Skilled in single-cell transcriptomic analyses, machine learning and artificial intelligence
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charge which provide an ideal interface between human-built devices (where signals are carried by electrons) and biological systems (where signals are carried by ions). This research will cover theoretical
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in grasses. Expertise in molecular biology, genetics and plant developmental biology are required. The successful applicants will be excellent team player's and excited about collaborations at SLCU
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to publications and other relevant communication Qualifications Relevant university master's degree Good theoretical background in organic chemistry, molecular biology or biotechnology Experience with analytical
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molecular biology and biochemical techniques such as cloning, in vitro transcription, nucleic acid purification, PCR, next generation sequencing library preparation and immunoblotting. Help prepare data
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, within the subject of the position, e.g. within genetics, genomics, evolutionary biology using bioinformatical approaches or within molecular biology addressing evolutionary questions. While there are no
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-Cas9 genome editing, transgenesis, and chromatin analysis, with a focus on understanding and manipulating cellular processes at a molecular level PhD in Molecular Biology required Please apply through
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genomes. Dr Karam Teixeira's group uses Drosophila as a model to study transposable element biology, epigenetic regulation and inheritance, small RNA-based defence mechanisms, and germline biology in