Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
training. His research focuses on developing algorithms to predict gene targets and target tissues affected by chemical exposures, as well as investigating how environmental exposures influence human health
-
materials science, structural biology, chemistry and nanotechnology. NanoLund (http://www.nano.lu.se ), formerly known as the Nanometer Structure Consortium, founded in 1988, supports and coordinates
-
should focus on one or several of the following or related research areas: High-Throughput Sequencing Algorithms and Applications, Computational RNA Biology and Regulatory Genomics, Analysis and Modeling
-
, operating systems, programming languages, formal methods, real-time systems, security and cryptography, and theory of computation and algorithms. In addition, members of the Department collaborate closely
-
record of analysis, interpretation and presentation of –omic related datasets, which can additionally include algorithm, pipeline, or database development. The ideal candidate will have developed a method
-
Environmental Science (EES) combines elements of geology and geophysics, chemistry, physics, biology and mathematics to study the earth. Length and time scales of interest range from the atomic to the tectonic
-
/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology, genomics, and epigenetics. Experience in next-generation sequencing
-
through recruitment of world-class investigators to the Grand Rapids Campus. We currently seek scientists with active, extramurally-funded research programs in the field of computational biology. Up to four
-
biology due to significant species-specific differences in neutrophil biology. For example, human neutrophils contain antimicrobial proteins that are absent in mouse neutrophils. Reliance on mouse models
-
recruitment of world-class investigators to the Grand Rapids Campus. We currently seek scientists with active, extramurally-funded research programs in the field of computational biology. Up to four tenure