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techniques, as well as a strong interest in molecular cancer research, are essential. Prior experience with RNA biology, organoid models, high-throughput methods, or -omics analysis is an advantage, but not
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of the following methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages
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, or a related field. The ideal candidate will have a strong background in trade policy and energy economics, with a demonstrated ability to conduct rigorous quantitative and qualitative analysis
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diagnostics Single-molecule technologies for biopolymer analysis Programmable membrane proteins for nanoscale transport and sensing Precision biomolecule processing for single-molecule technologies 3D tissue
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candidate will be involved in the design, execution, and analysis of experimental work, including transcriptomic and proteomic studies, with the aim of identifying mechanisms that enable the separation
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multivariate analysis and apply these to research questions within microbiology. To complement the research project, you will have access to a large range of different types of infrastructure available
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techniques, as well as a strong interest in molecular cancer research, are essential. Prior experience with RNA biology, organoid models, high-throughput methods, or -omics analysis is an advantage, but not
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to applied domains such as drug discovery Proficiency in programming or scripting (e.g., Python, Bash, or similar) for workflow automation and data analysis. Ability to think critically about experimental data
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. RESPONSIBILITIES: Collaboration on research projects on translational research topics such as pseudoxanthoma elasticum (PXE) and age-related macular degeneration (AMD) Conducting in vivo studies, data analysis, and
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the program will receive training in genomic analysis, experimental modeling, translational science, and preclinical modeling of childhood hematological malignancies. The training program will equip the next