Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with a leading external pharma company party, are seeking a
-
oral microbial communities mediate differences in oral and systemic health using an evolutionary health framework. There will be a specific emphasis on applying advanced bioinformatics and statistical
-
working on related topics Participate in teaching and supervision activities, in line with the candidate's profile and interests The research activities will be hosted by the Parallel Computing and
-
endosymbiotic interactions between soil microbes and crops. The overall aim of the project is to characterize novel signalling processes that enable plant root endosymbiosis. The role: Working as part of a team
-
includes the following tasks: Develop computer-aided design software for modular construction of switchable RNA nanostructures. Develop databases for RNA modules for automated building of atomistic models
-
or more of the following areas as demonstrated through at least one first-author publication: machine learning/computer science, computational biology/bioinformatics, cheminformatics. Individuals should
-
experience in one or more of the following areas as demonstrated through at least one first-author publication: computational biology/bioinformatics, metabolism/metabolomics, analytical chemistry/mass
-
range from cell biological over biochemical to molecular biology and bioinformatics approaches. Collaborations with structural biologists are possible. Your profile Applicants should hold a PhD in
-
for a Postdoctoral Researcher with expertise laboratory methods for ONT (Oxford Nanopore Technologies) long-read sequencing based DNA and RNA analysis and bioinformatic methods relevant to the study of
-
laboratory investigators involved in the management of prostate cancer, and researchers developing bioinformatics methods that exploit AI technologies in the Fred Hutch Data Science Lab. The Fred Hutch Data