Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
). Team player and great collaborator Strong interest in interdisciplinary work at the interface between dementia/ neurodegeneration, modeling, and machine learning Prior experience in deep learning, or/and
-
others. For a deep dive into the effects of aging on the genome and on downstream mechanistic function, Holstege and her team use advanced omics technologies, including single cell transcriptomics, long
-
. Examples of research topics include but are not limited to: development of new AI architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models of genome
-
the Center’s management. Profile Master degree in life sciences/a relevant discipline and the ability to deep-dive into scientific content: A PhD is not required but a plus; Background in neuroscience is an