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conferences; Assist in peer- and student-mentorship; and Share expertise and provide training and guidance to group members as needed. Requirements PhD degree in computational biology, statistics, applied
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Assistant professor in Computational biology -machine learning for multimodal molecular biology data
direct connection with NGI Stockholm. Subject field Computational biology with a focus on machine learning for multimodal molecular biology data. Subject description The subject covers the development and
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direct connection with NGI Stockholm . Subject field Computational biology with a focus on machine learning for multimodal molecular biology data. Subject description The subject covers the development and
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computational analysis of Next Generation Sequencing (NGS) based data from transcriptomics technologies such as RNA-seq, including read alignment with STAR and differential gene expression analysis with DESeq2
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both is considered a merit. Specialist area 1: Computational Biology Specialist area 2: Cell biology General to both specialties is possessing excellent verbal and written communication skills in English
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sought. Competency in both is considered a merit. Specialist area 1: Computational Biology Specialist area 2: Cell biology General to both specialties is possessing excellent verbal and written
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. Competency in one of two main areas is sought. Competency in both is considered a merit. Specialist area 1: Computational Biology Specialist area 2: Cell biology General to both specialties is possessing
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their doctoral dissertation. Competency in one of two main areas is sought. Competency in both is considered a merit. Specialist area 1: Computational Biology Specialist area 2: Cell biology General to both
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a solid background in bioinformatics, statistics and computational biology, good expertise in statistical and bioinformatics software, and an ability to work in a multidisciplinary research
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Molecular Biologyis organized into seven research programmes which all focus on different areas of cell and molecular biology: Computational Biology and Bioinformatics, Microbiology and Immunology, Molecular