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cutting edge experimental station for following molecular processes as they happen. In this PhD project, you will investigate two biologically and medically important membrane proteins: the zinc
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 27 days ago
insufficiently established, and emerging modalities capturing processes upstream of atrophy require validation. This PhD project uses multimodal neuroimaging to decipher early neurodegenerative disease across
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for the position: Experience with mammalian cell culture and associated techniques. Experience in high throughput sequencing. Experience in custom processing of high throughput sequencing data. Experience in
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processes at oxide–water interfaces, investigated using advanced experimental and theoretical methods. The position is for four years of doctoral studies, including participation in research and postgraduate
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. The thesis project will focus on radiation-induced processes at oxide–water interfaces, investigated using advanced experimental and theoretical methods. The position is for four years of doctoral
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is part of the national research programme DDLS. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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and their ability to benefit from studies at the doctoral level. After the selection of the suitable candidate, the process for the admission to doctoral studies will commence. An admission decision
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PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents
English. Experience in processing science, porous materials, and synthetic chemistry is advantageous. INFORMATION Employment as a doctoral student is time-limited to 4 years, teaching and other department
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(e.g., Snakemake, Nextflow) and reproducible data processing pipelines. Knowledge of transcriptomics and alternative splicing analysis, including isoform-level quantification tools. Programming skills in
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About the opportunity: Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and