-
for outstanding candidates for computational postdoctoral positions broadly interested in using machine learning, computational neuroscience and computational biology. The position is open under specific projects
-
in genomics, genetics or molecular biology, but other background will also be considered. Interested candidates should fill the online application and can also email their CV, cover letter and contact
-
, epigenetics, biochemistry, genomics, and data integration is a plus. Working as a team player in a highly dynamic environment is essential. To find out more about the Mills Lab, please visit
-
to advances in various biomedical research fields and of interaction with a broad range of researchers from all over the world through its renowned Meetings and Courses program. We believe that science is for
-
autoimmunity triggered by cancer. We employ a multidisciplinary approach, integrating structural biology, high-resolution imaging, and electrophysiology. While expertise in cryo-electron tomography (cryo-ET
-
-of-the-art laboratory space and the opportunity to discuss science in a diverse and supportive environment. This project also provides opportunities to develop skills in the application of murine glioma models
-
, for which the lab has recently obtained funding. Our group studies how the immune system shapes tumor evolution during initiation, malignant transformation, and metastasis. We aim to understand how
-
the use of MPRAs, a technology that Dr. Kinney and his lab have pioneered and continue to advance. They also develop machine learning approaches, including deep learning strategies, for extracting
-
through its renowned Meetings and Courses program. We believe that science is for everyone. We have had researchers with a variety of backgrounds and believe in the importance of diversity, equity, and
-
or be nearing completion of a PhD degree in STEM (science, technology, engineering, or mathematics) and have research experience in neuroscience or relevant fields of biology and bioengineering. We