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, and emerging analytical needs. Department Specific Qualifications Education: Bachelor’s Degree in Bioinformatics, Computational Biology, or a related field required; Master’s Degree preferred
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. Utilized methods include molecular and cell biology, flow cytometry, histology and microscopy, protein work, and bioinformatics. Your profile We are looking for candidates who enjoy lab work and who also
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– Integrative Genomics Core Unit (NIG), we are seeking a highly motivated scientific staff member with expertise in the bioinformatic analysis of next-generation sequencing (NGS) data. Your tasks development
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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, proteomics, and bioinformatics to make informed decisions on data analysis and validation experiments. Dr Francavilla’s team is funded by the Novo Nordisk Foundation and LEO Foundation and focuses
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. Expertise in the study of animal models and in vivo tumor growth. Excellent knowledge in the field of phosphatases and kinases and their role in cancer and immunity. Experience with bioinformatics, data
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mechanisms. Research directions include exploring DNA sequencing, DNA probe design, sequencing library preparation, bioanalytical chemistry, bioengineering and bioinformatics solutions for emerging problems in
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Bioinformatician at the intermediate or senior level. The Breuss laboratory is focused on employing and developing statistical machine learning, bioinformatic algorithms, and related approaches for the detection
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expected to aid in the data analysis and have an interest (or experience) in basic bioinformatic analyses techniques. This individual should be detailed oriented, conscientious, able to follow instructions
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, normalization, and dimensionality reduction using established bioinformatics pipelines. Generates summary statistics, data visualizations (e.g., heatmaps, UMAPs, violin plots), and interpret gene expression