Job Skills: Computational Biology
UCLA has established the interdepartmental Institute for Quantitative and Computational Biosciences (QCBio) to lead the transformation of biology and biomedicine into a data-rich and math-based, truly predictive science. QCBio faculty pioneer novel measurement capabilities, leverage electronic databases, and develop diverse computational approaches to accelerate (i) discovery across biological scales, (ii) the translation of basic knowledge to application, and (iii) the transformation of biosciences research training and education. [More]
The US Army Engineer Research and Development Center (ERDC) has initiated a multi-year program in systems biology and toxicology, which includes the development of mechanistic mathematical models, such as toxicokinetic (TK) and toxicodynamic (TD) models, predictive of a wide variety of biological toxicity data gathered from whole-animal and cell-based assays. [More]
The Neutron Sciences Directorate (NScD) at Oak Ridge National Laboratory (ORNL) operates the High Flux Isotope Reactor (HFIR), the United States' highest flux reactor-based neutron source, and the Spallation Neutron Source (SNS), the world's most intense pulsed accelerator based neutron source. [More]
The successful candidate will join an interdisciplinary team of computational, and molecular biologists, working on an exciting ICST European project: AdaLab (Adaptive Automated Scientific Laboratory: http://www.chistera.eu/projects/adalab ) funded by CHIST-ERA. She/He will be responsible for building a knowledge base about yeast diauxic shift as well as developing machine-learning algorithms for network inference and experimental design to be used in the Robot Scientist platform (Professor Ross King). [More]
A postdoctoral research position in the field of RNA Structural Bioinformatics is available in the Pyle lab (www.pylelab.org) at the Yale University. Areas of interest include but are not limited to 1) modeling large RNAs and fitting them into experimental data 2) coarse-grained MD simulations on large RNAs and 3) RNA based force field development. See few related publications from our lab, Keating KS and Pyle AM, PNAS 2010, Keating et al, Q Rev Biophys (2011), Humphris-Narayanan E and Pyle AM JMB (2012) and Somarowthu S et al, Nucleic Acids Res (2014). [More]
The Translational Genomics Research Institute (TGen) is a Phoenix, Arizona-based non-profit organization dedicated to conducting groundbreaking research with life changing results. TGen is focused on helping patients with cancer, neurological disorders and diabetes, through cutting edge translational research (the process of rapidly moving research towards patient benefit). TGen physicians and scientists work to unravel the genetic components of both common and rare complex diseases in adults and children. Working with collaborators in the scientific and medical communities literally worldwide, TGen makes a substantial contribution to help our patients through efficiency and effectiveness of the translational process. For more information, visit: www.tgen.org. [More]
The Department of Bioinformatics & Computational Biology (DBCB) at The University of Texas MD Anderson Cancer Center is seeking highly accomplished candidates for a faculty position at the Assistant, Associate, or full Professor level. DBCB invites applications from outstanding researchers in bioinformatics or computational biology with a focus on questions of importance in cancer research. [More]
Endocrine disruption is a key scientific and regulatory question. Predictive approaches to assess the potential of a substance to induce endocrine disruption are required. [More]
The VIB/UGent Department of Plant Systems Biology (PSB, www.psb.vib-ugent.be) is a world-leading plant science institute with the mission to integrate genetics, genomics and computational biology to unravel the biology of plants and to further explore the potential of plants to build a sustainable world. The Evolutionary Systems Biology lab at PSB (http://www.psb.vib-ugent.be/esb) is looking for a talented and highly motivated postdoc to work on modeling the evolution of transcriptional systems from a mechanistic perspective (3 year position, extendable to 4 years, available immediately) [More]
This position will be a key analyst in the project. The position entails close collaborations with genetics, genomics and neurobiology groups within the Stanley Center, Broad Institute, and Broad partner institutions [More]