Job Area: Computational Biology
A PhD position is available in developing and applying computational and machine learning models for multilayered trans-omics data sets generated by state-of-the-art mass spectrometer (MS) and next generation sequencer (NGS). Our research project, funded by the Australian Research Council (ARC), aims to develop novel machine learning algorithms to analyse and integrate large-scale MS-based omics data with ultra-fast NGS-based omics data generated from complex biological systems. [More]
Applications are invited for a postdoctoral researcher to work at the cutting edge of bioinformatics & medicine in the laboratory of Prof. Mitchell Lazar at the Institute for Diabetes, Obesity, and Metabolism at the University of Pennsylvania. The successful candidate will have a strong computational biology background and work closely with experimental biologists to develop tools and analyze genomic (Gro-seq, RNA-Seq, ChIP-seq) and epigenomic (histone modification and DNA methylation) data. By applying integrative approaches, he/she will make discoveries related to diabetes, obesity, and metabolism. [More]
Multiple NIH-funded postdoctoral positions in computational structural biology are available immediately in the lab of Dr. Tseng at Center for Molecular Medicine and Genetics (CMMG), School of Medicine. One of research projects focuses on molecular dynamic simulations in the proteins involved in lipolysis. One focuses on somatic mutations on protein binding surfaces and protein-protein interfaces.thers focus on ER stress-induced proteins that cause symptoms of fatty livers. [More]
We are seeking a highly motivated Scientist or Sr. Scientist to join our efforts at Fulcrum. This individual will focus primarily on next generation sequencing data in conjunction with human or model organism phenotypic data as it relates to our therapeutic programs. [More]
We are looking for three highly motivated postdoctoral researchers in computational analysis of gene regulatory networks (network robustness and topological properties) and its applications in cancer biology. Our research objective is to develop graph-based algorithms to study important biological questions in stem cell and cancer biology. PhD in computer science, bioinformatics, or cancer biology. Good publications and experiences in computational biology. Position is 3-years long. [More]
The "Genotype & Environment to Phenotype (GE2P)" theme in P2IRC is seeking a post-doctoral fellow to work as part of an interdisciplinary and collaborative team consisting of seven faculty and their graduate students. The team is led by Drs. Anthony Kusalik and Michael Horsch.he successful candidate will work as part of the GE2P team to identify and predict connections between phenotypic features and genotype and environmental factors in crop species. Activities will be directly supervised by Dr. Kusalik and Dr. Matthew Links. The research will take advantage of the local computer and software resources provided by other Computer Science teams in P2IRC, as well as HPC facilities at the U. of Saskatchewan and at Compute Canada. [More]
A senior research scientist position is available immediately in the Bioinformatics Service Core Facility at the School of Biomedical Informatics, University of Texas Health Science Center at Houston. Exciting work to plan, direct, perform, and report on bioinformatics analysis to answer biological questions in collaboration with experimentalists. Meets with collaborators to understand the project so that the appropriate analysis can be developed. Communicates the plan, methods, and results of the analyses. Keeps current with advances in technology. Decisions impact the success of the research project(s). [More]
The Department of Genetics at the University of North Carolina at Chapel Hill invite applications for a tenure track faculty position. The Department of Genetics provides an outstanding environment for ground breaking research, career development and interface with other units that perform basic, translational and clinical research. The successful candidate will be expected to develop an independent, innovative and internationally recognized research program focused on the development and use of statistical and computational approaches to biomedical research. [More]
This project aims at identifying predictive markers of ex vivo drug sensitivity in Acute Myeloid Leukemia (AML). The successful candidate will investigate the application of machine learning methods to predict which drugs are most effective for a given AML tumour exploiting in-house and public data resources. [More]
A post-doctoral level research staff position is available to head the EMBL Centre of Biological Modelling (CBM) based at EMBL’s Heidelberg site. Research at EMBL covers most areas of modern biology, including structural, cell, developmental, neuro- and tissue biology, and it uses cutting-edge technologies including biophysics, imaging and genomics. [More]