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Field
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exploits phenomena that occur at the nanoscale in order to generate simple and novel biosensing platforms. They hold a wide expertise in cells, pathogens, DNA, proteins and small molecules detection using
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DNA (ctDNA), and next-generation sequencing (NGS) to address fundamental and clinically relevant questions in lung cancer biology. The successful candidate will be expected to lead high-impact projects
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available in our group to work on (1) DNA advanced imaging method development for spatial transcriptomic and proteomics. (2) Translation research to apply the developed methods to study Alzheimer and cancer
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a clear understanding and use of controls. Preform experiments at the bench level to support investigative work, potentially including, but not limited to molecular biology assays, DNA sequencing, PCR
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Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS) | Poland | about 2 months ago
techniques (DNA, RNA, and protein isolation from tissues, PCR, RT-qPCR, ELISA tests); experience in conducting research in the field of epigenetics will be an advantage. 5. Fluency in spoken and written
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, including qPCR, DNA/RNA sequencing, flow cytometry, fluorescence microscopy, plasmid design, production and in vitro transcription of mRNA is key. Prior experience with gene editing protocols and read-outs is
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mapping, kelp forest condition, acoustic soundscape indices, or biodiversity metrics derived from environmental DNA (eDNA), spanning upland to marine ecosystems. This work will advance scaling relationships
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diversity, and functional genomics. Apply molecular biology techniques (e.g., DNA/RNA extraction, PCR, qPCR, metagenomics, transcriptomics) to study microbial communities in soil environments. Develop and
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-on experience in molecular biology and biochemistry including protein, RNA and DNA isolation from tissues and CRISPR-Cas9 cell generation is required. Full command of English, written and spoken. Track-record
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project will utilize hematopoietic stem cells from mice to identify metabolic factors that drive stem cell aging using flow cytometry, RNA/DNA sequencing, proteomics, metabolomics, immunofluorescence