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know very little about the mechanisms that align DNA replication activities to potentially harmful endogenous threats such as metabolic stress and thereby limiting the detrimental consequences
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both on the sequence and structural level, developing and employing machine-learning tools for predicting antibody-epitope binding. In silico antibody design is a long-standing computational and
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., decision trees, logistic regression); - Explainability techniques such as SHAP, LIME, and rule-based decision trees to justify model predictions; - Sensitivity analysis across multiple comprehension
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the system, converting mapped graphs to instruction sequences, and execute test programs ; Collaborate in writing scientific articles to disseminate results. ; 4. REQUIRED PROFILE: Admission requirements
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(Transcend). More about the position / Project description The candidate will develop and employ a variety of computational biology techniques to perform antibody design both on the sequence and structural
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candidates from any science, technology, engineering or math (STEM) discipline can submit their fellowship research project for consideration. The research project must align with one of NRC’s research centres
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describe processing sequences, based on Web technologies and a scientific workflow system.; - Implement the software module and respective documentation; - Perform usability and validation tests
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settings, increase strategic engagement and alignment between universities and industry, contribute to the solving of industry-identified challenges and opportunities, and create commercial, economic and
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capillary electrophoresis, next generation sequencing and single cell analysis, as well as utilising bioinformatics tools for data analysis. Contact For further information about the position, please contact
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sequences provide an opportunity for such studies. For example, shallowing-upwards emergence sequences deposited during glacioisostatic rebound indicate large-scale glaciation during MIS 4. However, there is