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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
-based digital twin, which can predict the assortment and sequence of two-dimensional all-DNA motifs required for the engineering desired tessellation patterns at the nanometer scale. We will use available
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assays, flow cytometry, fluorescence imaging, RNA sequencing and biochemical techniques e.g. western blot, quantification assays). Combining diet treatments, pharmacological inhibition and genetic
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Gene expression modulation CRISPR/Cas9 (including knock-out, knock-in, CRISPRa, CRISPRi, viral vector systems) Next-generation sequencing (RNA-, ATAC-, ChIP-Seq, CUT&RUN, Hi-C and others) Pulldown and
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single cell sequencing analyses of mouse and human bone marrow cells at leukemia onset, throughout the course of treatment and upon relapse. Ideally, the candidate brings in strong expertise in cell
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analysis, next-generation sequencing, and small animal models. Salary and social benefits will be determined by the regulations of the German TV-AVH (salary agreement for public service employees
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cell sequencing datasets and to combine these data with AI analyses from bone marrow smears. We aim to analyze mechanisms and also to develop new biomarkers for therapy response and resistance. Job-ID
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 17 hours ago
conceived research proposals that align with IOER’s research. The programme aims to equip PhD candidates with the knowledge and skills necessary to successfully complete a doctoral dissertation, which may be
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related fields. • Research expertise of several months (e.g., during a Master thesis). Ideally, the experimental or theoretical methods in your command align with the research direction of the project you
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are seeking two excellent and enthusiastic PhD students with a strong interest in microbiome research. The specific focus of the PhD projects will be tailored to the candidate’s interests and will align with
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facilities (sequencing, proteomics and metabolomics). This dynamic setting fosters innovation and teamwork, enabling cutting-edge discoveries in the field of microbiome studies. The candidate will work on a