19 data-"https:"-"https:"-"https:"-"Inserm" PhD positions at Nature Careers in Germany
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-weighted magnetic resonance imaging to comprehensively characterize the tumor microenvironment (TME). Tasks will involve the development of improved biophysical models and corresponding MRI data acquisition
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highlight the potential of microbiome intervention in immuno-oncology. In our team, we actively integrate translational data, functional assays and preclinical models, to understand and overcome mechanisms
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diseases. You will contribute to the acquisition of multi-omics data from cryopreserved patient-derived samples, working in close collaboration with clinicians to assess patient outcomes. You will present
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basic cell biology, e.g. CRC1450, TRR332 and SFB1348. RESPONSIBILITIES: Experimental investigations including cell biological, immunological, biochemical and microscopy methods Documentation of data and
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, including quality control, maintenance and troubleshooting on an Aria Fusion cell sorter Sample preparation, cell sorting and data analysis Generation of single cell libraries with 10X Genomics, Singleron and
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will be preferentially considered when equally qualified. Further information about FAIR and GSI is available at www.gsi.de and www.fair-center.eu. If you find this position interesting and challenging
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, integrative biology approach that utilizes human pluripotent stem cell based model systems, high throughput functional genomic screening and big data based machine learning, bridging the scales from genetics
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
information behaviour, goal-oriented and structured way of working, initiative/commitmentand, ability to work in a team and willingness to cooperate as well as conceptual, strategic and innovative thinking
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of family and career Consideration of personal wishes regarding the weekly working schedule Information regarding the position Paygrade E13 according to TVöD VKA-K. Your job grade depends on your job
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engineering Knowledge of machine learning (deep learning) Basic knowledge of computer science or software development, e.g., using Java, Python, or C++ Good communication and information skills, goal-oriented