Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
& Responsibilities: Assists research studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical
-
Projects (BCP)'s premises in Stockport. Company Information: To find out more about Business Computer Projects (BCP) go to https://www.bcpsoftware.com/about-us/ Qualifications we require: Hold, or be about
-
out more about Business Computer Projects (BCP) go to https://www.bcpsoftware.com/about-us/ . Qualifications we require: Hold, or be about to obtain, an honours degree (2.1 or 1st) OR master's degree in
-
of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis solutions that assist in storage
-
predictive algorithms, and communicate findings in impactful and socially responsible ways. Position summary: The main role of this position is to co-design and implement advanced research and computational
-
analysis pipelines. Skills and knowledge needed for this position include scripting and computer programming, bacterial genomics, and evolutionary biology and/or population genetics. Responsibilities Dissect
-
of algorithms, data structures, high-performance computing, machine learning and microbiology. The position at the Department of Molecular Biology at Umeå University is temporary for four years to start
-
labs addressing leading edge questions in biology and medicine by developing and applying genetic, genomic and computational approaches taking advantage of genomic information now available for a host of
-
to somatic alterations, identify disease-causing events, and understand how the genetic alterations affect treatment response by combining computational and experimental approaches. The Yang Lab is recruiting
-
. In this PhD project, your duties: are interdisciplinary and require an interest in evolutionary biology, bioinformatics, computational/mathematical biology and genetics/genomics involve primarily