Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
research questions into well-defined analytical approaches and implementation milestones. Apply and evaluate machine learning methods to predict complex traits and phenotypic outcomes from genomic and
-
analysis or machine learning methods to support genomic data analysis and interpretation. Benefits Our Benefits: Travel allowance Bonus Enhanced holiday pay Pension Life Assurance Income Protection Private
-
are bioinformatics algorithm development, machine learning methods, and microbial genomics. Strong candidates will have significant experience in at least two of these three areas, and experience in all three is a
-
systems to rapidly traverse evolutionary landscapes Evolution of complex, multi-gene phenotypes Engineering plug-and-play selection systems for continuous evolution of diverse phenotypes Learn more at How
-
broad implications for how we understand and engineer life. Learn more at How to apply Applications will be reviewed on a rolling basis. In your cover letter, please clearly explain your fit, interest
-
with a range of experiences and career paths. You may have gained relevant expertise in industry, applied research or academia. PhD, or equivalent industry experience, in Biochemistry, Chemistry
-
genome synthesis and artificial intelligence will enable biological design at the organism scale with implications in bioproduction, human health, agriculture, and beyond. Learn more at jzlab.bio How
-
for engineering biology. GBI researchers will also be supported by cutting edge facilities including mass spectrometry, flow cytometry, sequencing, automation, scientific computing, bioinformatics, and machine
-
, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long-term, collaborative research, and we will actively support the translation of research to commercial
-
cytometry, sequencing, automation, scientific computing, bioinformatics, and machine learning. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress