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research programme in fundamental AI, AI co-scientists, and applications in complex scientific domains such as RNA sequence-function modelling, structure prediction, and inverse design. Further information
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an intelligent, AI/Reinforcement Learning-based system to automatically align the beam transport by adjusting steering mirrors based on camera feedback Investigate the feasibility and trade-offs of relocating
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University of Gothenburg/Department of Biological and Environmental Science | Sweden | about 1 month ago
processing of sequence data, phylogenomic analysis, GIS-based spatial analysis, and comparative macroevolutionary analysis. Attend local and/or international conferences for the purpose of presenting research
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: Human postmortem brain and spinal cord tissues Spatial transcriptomics Spatial proteomics (CODEX) Single-cell RNA sequencing Human iPSC-derived microglia and motor neuron models CRISPR/Cas9 genome
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microbial isolation, culturing, DNA techniques and sequencing Strong data analysis skills, including Excel, statistics, or modelling A track record (or emerging record) of research and publication Excellent
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-resolution microscopy to visualize vascular function and BBB dynamics. Analyze or support RNA sequencing experiments. Supervise undergraduate trainees and contribute to an open, collaborative lab culture
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to: Research: Undertake high-quality independent and collaborative research aligned with the Future Fellowship project, producing peer-reviewed publications and other scholarly and public-facing outputs, while
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appointment. We are looking for candidates with: Experience with molecular microbiology methods (e.g., nucleic acid extraction, qPCR, dPCR) and quantitative data analysis Experience with metagenomic sequencing
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labels to whole-organism imaging challenges. Pursue creative research ideas that leverage your previous experience and align with your current and future scientific interests. What You Bring: Ph.D. in
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diverse combination of experimental approaches, including next-generation DNA/RNA sequencing, single cell RNA and ATAC sequencing and spatial transcriptomics. We model malignant glioma using glioma patient