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, Semi-supervised and unsupervised representation learning, machine learning method development and in particular, applicants with experience in digital pathology. Applications from underrepresented
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technologies and analysis pipelines. Experience with 3D culture systems or organoid models to replicate hematopoietic microenvironments. Knowledge of clonal tracking methods to study cell fate and leukemic
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sciences. Since cancers are complex systems, biomedical discovery in oncology depends on the ability to develop methods that can extract novel insights from data. The Sottoriva Lab in the Computational
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. within 6 months from the closure of this call; A sound understanding of applying relevant statistical methods to highly-dimensional complex data from molecular phenotypes coupled with genotypes
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science, etc) to be obtained max. within 6 months from the closure of this call; A sound understanding of applying relevant statistical methods to highly-dimensional complex data from molecular phenotypes