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Field
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basic science research on neuronal remodeling using Drosophila as a model system. The lab professional will learn and employ molecular-genetic and cell biological techniques. Key Responsibilities
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maintain stable functionality in the face of perturbations during development, growth, maturation, experience, and disease? Outcomes from our work will define the molecular principles that govern how
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pivotal in delivering a CRIS Cancer Foundation funded award to map and model the tumour microenvironment of a paediatric soft tissue sarcoma called rhabdomyosarcoma (RMS), with a view to validating novel
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University of Miami, Miller School of Medicine- Recruiter | Miami, Florida | United States | 5 days ago
model), other vascular surgeries, molecular biology experiments (western blotting, RT-PCR, RNA-DNA isolation, immunofluorescence, histology, etc.), is preferred Write manuscripts and publish in peer
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and adiposity impact myeloma, identifying key cellular and molecular mechanisms controlling progression of multiple myeloma. The post is funded by Blood Cancer UK. About you It is essential that you
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with Monte Carlo modelling skills and a good understanding of the basic radiation dosimetry principles. Optional experimental work spans molecular biology, in vitro cell studies and preclinical in vivo
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Do you want to contribute to top quality medical research? The research group led by Michael Ratz at the Department of Cell and Molecular Biology is looking for a research assistant. The lab is
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characterized by a strong Th17 cell response and enhanced colonization resistance to pathogens. Our work uses a combination of wild-type and knock-out gnotobiotic mouse models, in vitro hypoxic growth conditions
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. Documented skills in and experience from additional methods in molecular biology constitute a strong merit. Documented experience from work with animal in vivo models is also a merit. Required characteristics
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background - Participate in the design and implementation of algorithms to analyze molecular data and integrate with other data sets - Systematically explore and mine multi-dimensional data to validate