Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
bioinformatics analyses, (vi) generally contributing to a collaborative interactive culture through providing computational and physical chemistry expertise, (vii) contributing to the training mission of the lab
-
Specialist Company: Princeton University Description: Bioinformatics Scientist Position in Metagenomics and Evolutionary Genomics The Bioinformatics Scientist in the Moeller Lab at Princeton University will
-
metabolomics, (v) carrying out bioinformatics analyses, (vi) generally contributing to a collaborative interactive culture through providing computational and physical chemistry expertise, (vii) contributing
-
bioinformatics analyses, (vi) generally contributing to a collaborative interactive culture through providing computational and physical chemistry expertise, (vii) contributing to the training mission of the lab
-
additional opportunities for training and implementation of additional techniques in the lab, including bioinformatics methods. This will be tailored to the candidates specific interests and goals. Essential
-
The Bioinformatics Scientist in the Moeller Lab at Princeton University will lead and support projects that employ metagenomics and genomics methods to study the ecology and evolution of icrobiomes
-
Bioinformatics Scientist Position in Metagenomics and Evolutionary Genomics The Bioinformatics Scientist in the Moeller Lab at Princeton University will lead and support projects that employ
-
biophysics -experimental and/or computational genomics -computer science, statistics, and/or machine learning with applications relevant to genomics -bioinformatics -population genetics / genomics
-
communication skills. Candidates are required to have experience in one or more of the following areas as demonstrated through at least one first-author publication: computational biology/bioinformatics
-
at least one first-author publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, machine learning/computer science, toxicology/forensic