Sort by
Refine Your Search
-
on i) phylogenomic inference of hundreds of whole genomic data already available; and ii) investigating rates of evolution across the genome and their correlation with phenotypic traits across various
-
on i) phylogenomic inference of hundreds of whole genomic data already available; and ii) investigating rates of evolution across the genome and their correlation with phenotypic traits across various
-
of terrestrial vertebrates on Earth today with 11,000 species. A Ph.D. in Evolutionary Biology, Computational Biology, or related fields, is required. The work will focus on i) phylogenomic inference of hundreds
-
research positions in the following fields:1. Microfluidic and Lab-on-Chip development in a multidisciplinary lab. Candidates should demonstrate track-records in microfluidics, Lab-on-Chip, and micro
-
information for three references. Essential Qualifications: Ph.D., M.D., or equivalent is required. Applicants should have training and a significant track record in one of the following areas: -developmental
-
ranks may have multi-year appointments. Appointments come with a highly competitive salary and $10,000 annually in research funding. Applicants should have a strong track record of research excellence in
-
collaborate with the ARG team on developing grant proposals.QualificationsRequired qualifications:Doctoral degree in a related field, such as Architecture, Civil Engineering, Robotics, etc.Excellent track
-
funding. Applicants should have a strong track record of research excellence in a related field, and should have or be approaching a PhD in a related discipline (Physics, EE, Chemistry, or Computer Science
-
to provide letters of recommendation. Applicants who have not yet received the Ph.D. must also provide a letter from their dissertation advisor indicating that they are on track towards completing
-
., or equivalent is required. Applicants should have training and a significant track record in one of the following areas: -computational biology-computer science-electrical or computer engineering-genomics