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To strengthen our team in the division “Inorganic Trace Analysis” in Berlin-Adlershof, starting for the next possible date, we are looking for a Postdoctoral Researcher (m/f/d) in the field
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integration implementation of machine learning in data analysis development and implementation of custom data analysis pipelines manage your own projects and work on various data analysis projects
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bioinformatic analysis of NGS data. Hands-on experience in generating high-quality ChIP-seq data. Hands-on experience in culturing mammalian cells. Experience in molecular biology techniques, including use
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, innate immunity RNA Bioinformatics & High-Throughput Methods (Hyeshik Chang): mRNA vaccine design, RNA sequencing, RNA modification analysis RNA–Protein Interactomics (Jong-Seo Kim): proteomics
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group E 13. It is a full-time position with a weekly working time of 40 hours per week. The position can be filled on a part-time basis. The focus of this position is on sustainable development pathways
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. • An ambition to make major contributions to the field of systems pharmacology by driving an independent research project • Strong communication skills and a desire to work in a team-oriented, interdisciplinary
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, and large language models (LLMs), for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics) and large textual corpora (e.g., scientific literature). Our
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Postdoctoral Researcher (Physicist, Chemist or Material Scientist( (all genders) for a Tenure Tra...
the opportunity to work together in this international environment with a team of employees committed to conduct excellent science. The GSI Target Laboratory is looking for a Postdoctoral Researcher (Physicist
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thereafter. The position will be available for a 3-year period. You will be part of a research environment focusing on developing precise solutions for climate resilience in agriculture across EU Boreal region
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of it, we are currently looking for a postdoc on machine learning for road characterization. How will you contribute? Do you have proven