54 civil-engineering-soil-structure-interaction Postdoctoral positions at Nature Careers in Germany
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interaction analysis and single-cell approaches to unravel regulatory mechanisms of heart function and disease. CRISPR-based functional genomics will allow you to explore and steer the regulatory mechanisms
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multi-disciplinary approaches to answer these key questions including; immunology, oncology (in vitro model-organoid systems, ex vivo tissue culture), microbiology, next generation sequencing (16S seq
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this research project, state-of-the-art techniques will be employed including multi-spectral imaging, methylome analyses, RNA-Seq at single-cell and bulk levels, cell culture as well as bioinformatics analyses
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start: Structured induction • Healthy at work: Numerous health promotion offers, free membership in UKBfit • Employer benefits: preferential offers for employees (corporate benefits) The University
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HPC environments Good communication skills to interact with collaborators ranging from machine learning researchers to pathologists or medical students Knowledge of biology and medicine is a plus Highly
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experience in one or more of the following: tumor immunology, cell therapy, immune metabolism or genetic engineering Experience with in vivo models and FELASA B/C certification is a plus Highly motivated, team
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Expertise with scientific data analysis We expect: the ability to work independently and on your own initiative a methodical and systematic approach structured and goal-oriented thinking capacity
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cell culture is desired, additional experience in fungal molecular biology and fluorescence microscopy is an advantage Ability to perform team-oriented as well as independent work Willingness to take on
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, with the ability to effectively interact with a broad scientific audience Willingness to contribute to grant writing, project proposals, and to represent the team at scientific meetings and conferences
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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology