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Field
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Engineering, Bioinformatics, Statistics, Applied Mathematics, Physics, or a closely related STEM field. Demonstrated experience developing AI and machine learning models for biomedical applications. Job
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
simulations, and structural bioinformatics of proteins and other biomolecules – and we're now scaling that expertise to meet the volume and complexity of data these methods generate. This is not a conventional
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microbial community analysis (e.g., sequencing, bioinformatics) and/or assessing chemical stressor effects on organisms or ecosystems, along with solid skills in experimental design and data analysis. You are
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project) in collaboration with our bioinformatics and statistics collaborators Publish results in international peer-reviewed journals and present at national and international conferences Write a doctoral
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mechanistically using an epithelial cell model. This interdisciplinary project provides training in developmental biology, bioinformatics, spatial transcriptomics, cell culture, imaging and molecular genetics
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mechanistically using an epithelial cell model. This interdisciplinary project provides training in developmental biology, bioinformatics, spatial transcriptomics, cell culture, imaging and molecular genetics
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, metabolomics, proteomics and lipidomics, thus offering excellent training opportunities for candidates interested in bioinformatics and multi-omics data integration. Very good language skills in English are
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, electrophysiology, and/or synaptic function Basic knowledge of molecular biology and immunohistochemical methods, as well as bioinformatics and statistics Strong motivation to pursue scientific research in
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logistics Analyse and interpret large-scale molecular data (approximately 11,000 proteins per project) in collaboration with our bioinformatics and statistics collaborators Publish results in international
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microbiology, biophysics, as well as bioinformatics and the analysis of large datasets. Additionally, the PhD student will be part of the Swiss-wide NCCR AntiResist consortium, with lots of opportunities