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Senior Bioinformatics Research Scientist - Northcott Lab in the Center of Excellence in Neuro-Oncolo
process and results. The successful candidate will contribute to discovery-driven computational studies of unprecedented multi-omic datasets obtained from children with malignant brain cancer, including
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advancing understanding and treatment of pediatric cancer. Dr. Brian Crompton’s lab is an interdisciplinary team with both computational and wet bench scientists that utilize omics (e.g. genomic, epigenomic
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of the procedure and preventive maintenance manuals to reflect current practices. Collect quality data, as assigned, and assist in Quality Program initiatives as required. Comply with all standards/ requirements
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. Assess student learning and/or functioning using validated tools and measures. Facilitate interactive, engaging learning experiences and/or school support Manage classroom or program logistics, such as
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friendly atmosphere of large and interacting communities for e.g. structural biology, molecular cell biology, computational biology, neurobiology, and molecular medicine that encourages lively, open, and
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computational scientists. The position offers a unique opportunity to work at the interface of landscape ecology, biodiversity science, climate mitigation, and sustainable agriculture, contributing directly to
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collegial working atmosphere with short communication lines. A full residency program in medical oncology is available. Profile of the ideal candidate We are looking for a medical oncologist who is energized
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research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly skilled
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biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. Over the past decade, our institute has pioneered exome and genome sequencing in order to map
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, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The project focuses on the comprehensive characterisation of the zygotene cilium and