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or device fabrication Electrical characterization of materials Nanomaterials or bioelectronic interfaces Candidates should demonstrate strong experimental skills, creativity, and the ability to work
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role sits at the interface between software engineering, machine learning and clinical translation. The successful candidate will work closely with data scientists, computational biologists, clinicians
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that ultimately arise from dysfunction of the ciliary organelle. The successful candidate will be work in a world-class environment with international leaders in mRNA biology, Structural Biology, Cell Biology
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University of California San Diego - Ganesan Lab | Mision de San Diego de Alcala, Baja California | Mexico | about 2 months ago
· Ph.D. or MD/PhD in immunology · Experience in murine work and in vivo/functional experiments using mouse models · Experience with tumor models, brain tumor models, leukemia models
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of therapeutic response. This work will generate mechanistic insight into paediatric leukaemia and support the development of more effective therapeutic strategies. Your mission You will investigate the mechanisms
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the genetic architecture of molecular traits alone and in interaction with the environment. S(h)e will help in defining the direction of scientific work, conducting research, analyzing data, preparing the work
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UT Health San Antonio Long School of Medicine | San Antonio Texas, Guanajuato | Mexico | 3 months ago
publication record, and the ability to work both independently and collaboratively in a multidisciplinary research environment are essential. Salary will be commensurate with experience and will follow
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, innovation and business, the office drives research translation through intellectual property management, venture creation, licensing and strategic partnerships with industry and investors, while fostering a
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interpretability and enable causal and counterfactual (“what-if”) analyses. Your work will sit at the intersection of deep learning, genetic epidemiology, and public health, with opportunities to lead methodological
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genetics, computational biology, machine learning, and AI. Grow your skills You will work alongside internationally recognised researchers in statistical genetics, genomics and computational biology