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from chem- and bioinformatics to computer vision and social network analysis. Machine learning with graphs aims at exploiting the potential of the growing amount of structured data in all these areas
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Practical experience in proteomics and interactomics is a plus Practical experience in ribosome biology is a plus Experience in bioinformatics/computational biology is a plus Practical experience of protein
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, Biochemistry, Chemistry, Bioinformatics, Physics, Pharmacy etc. and an ambitious and innovative mindset as well as excellent written and oral communication skills in English. We offer: A funded PhD position
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sciences or similar Strong interest in single-cell nucleus RNA-seq techniques / Perturb-Seq / Crop-Seq Willingness to learn computational biology/bioinformatics High motivation for scientific work and
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains Master’s degree in computational biology, bioinformatics, systems
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using quantitative and bioinformatic approaches to define genotype–phenotype correlations Characterisation of axonemal protein composition, ultrastructure, and motility defects of flagellar/ciliary
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bioinformatics would be a strong asset Language skills · Good level both written and spoken English Your LIST benefits · An organization with a passion for impact and strong RDI partnerships in
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or similar) Strong interest in human genetics, bioinformatics, research and development in a translational setting Previous experience in molecular biology techniques (such as PCR, sequencing, cell
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, Molecular Biology, Biomedicine, (Bio-) Chemistry or similar) Strong interest in human genetics, microscopy and imaging analysis, and bioinformatics Previous experience with molecular biology techniques