Job Role: Postdoc
PDF Salary range: £30655 to £38428 per annum plus excellent benefits.: Wellcome Trust Sanger Institute: We are looking for a highly motivated Single Cell RNA-seq bioinformatics Postdoctoral Fellows who will develop their career by contributing to our study and joining the Brazma/Marioni/Teichmann groups. Cambridge, Cambridgeshire (GB) [More]
£32,600 - £38,896 per annum Allowances: £2,323 London Living Allowance : King's College London: The postholder will develop a platform that will let researchers easily use and share genetic, clinical and lifestyle information that has already been collected, and add new information as it is produced. London (Central), London (Greater) (GB) [More]
The Vrije Universiteit Brussel (VUB), in collaboration with the Universiteit Gent (UG), is seeking candidates for a postdoctoral position in structural bioinformatics. The research project will investigate how sequence-based predictions of protein characteristics can be fully exploited on a large statistical scale to better understand their experimentally observed behavior, especially in relation to folding events, protein stability and post-translational modifications. It connects structural bioinformatics (Wim Vranken at the Structural Biology Brussels (SBB), VUB), machine learning (Tom Lenaerts at the Artificial Intelligence group (AI), VUB) and proteomics (Lennart Martens at the Computational Omics and Systems Biology Group, UG). The successful candidate will be mainly located at the (IB)2 Interuniversity Institute of Bioinformatics in Brussels (http://ibsquare.be), an institute that brings together the science, engineering and medical faculties of VUB and the Université Libre de Bruxelles (ULB) in a collaborative and open atmosphere. The focus of the (IB)2 is on interdisciplinary research, with expertise in machine learning, big data, rare diseases, oligenic disorders, network analysis, genome analysis, metagenomics and structural bioinformatics. Research context: The interactions and function of proteins are determined by their dynamics and conformations. Proteins can adopt context-dependent and interchanging conformations, as illustrated by allosteric changes induced by binding events or by post-translational modifications. Local sequence-based interactions between amino acids have a large influence on these preferential conformations, even when long-range stabilizing interactions are present. In this project, we investigate the influence of such local interactions on the behavior of proteins, from folded to intrinsically disordered. These analyses are possible through novel and unique tools and databases developed by our groups, such as DynaMine (http://dynamine.ibsquare.be), Start2Fold (http://start2fold.eu) and PepShell (http://compomics.github.io/projects/pepshell.html). The successful candidate will gather further relevant experimental data from public databases and literature and connect these data to results from sequence- and structure-based predictions in order to construct innovative computational approaches that can guide new experimental work in protein folding, stability and post-translational modifications. Offer: A full time postdoctoral position for the duration of 3 years funded by the Research Foundation – Flanders (FWO), pending a review after the first 6 months. [More]
The Helmholtz Zentrum München in Munich, Germany, is member of one of the leading research associations in Europe - the Helmholtz Association of German Research Centers. The aim of our research is to proactively detect health risks involving humans and the environment, decoding the mechanisms of pathogenesis and developing concepts for prevention and therapy. Idiopathic pulmonary fibrosis is characterized by altered cell composition and homeostasis leading to loss of function (Fernandez et al, Lancet 2012;380:680-88). To find anti-fibrotic strategies understanding cellular processes of disease development is crucial. Recently, we started this by identifying dynamics of biological processes and networks on the proteomic level (Schiller et al, Molecular Systems Biology 2015;11:819). Based on our recent works on the analysis of single cell transcriptomics to correct for latent confounders such as cell cycle (Buettner et al, Nature Biotechnology 2015;33:155-160) and to visualize developmental processes (Haghverdi et al, Bioinformatics 2015; 31:2989-2998), we want to model and analyze the transcriptional heterogeneity linked to disease pathomechanisms and disease classification by single-cell analysis. The Institute of Computational Biology (ICB) offers in cooperation with the Institute for Lung Biology and Disease (Comprehensive Pneumology Center, CPC) a position at the earliest possible date for a PostDoc in Single-cell Bioinformatics/ Computational Biology (2015/2935) Job Description: - single-cell-analysis - quantitative description and modeling of disease-related networks - modeling and analysis of heterogeneous gene expression Our Offer: - Working in an innovative, well-equipped and scientifically stimulating surrounding - Further training opportunities - Initial short-term employment contract for two years with a standard public service salary (TV EntgO Bund EG 13) [More]
Highly motivated postdoc interested in joining the group. The successful applicant will explore innovative methods and large-scale data to identify regulators of blood cell formation in vivo in humans. This will require the development of methods to integrate population-genetic data with complex, multi- and high-dimensional phenotype data reflecting blood cell development. [More]
The position will be a part of the project "mRNA localization and local translation in neuronal cells". In highly polarized cells, many mRNAs have specific subcellular localization patterns and their translation is often regulated in a localization-dependent manner. We have conducted a screen to identify neuronal RNAs that change their localization and translation patterns upon abrogation of the miRNA function. The selected candidate will work a close tandem with experimentalists, analyzing RNA-seq, ribosome profiling, CLIP and mass-spectrometry data.The successful candidate will benefit from the international research environment and excellent learning opportunities. There will also be a chance to develop one’s own line of research for the future independent career. [More]
Postdoctoral positions in Computational Biology/Bioinformatics are available in the laboratory of Dr. Lionel Ivashkiv and the David Z. Rosensweig Genomics Research Center at the Hospital for Special Surgery/Weill Cornell Medicine (WCM). Postdoctoral Fellows will be co-mentored by Dr. Ivashkiv and computational biologists Drs. Eugenia Giannopoulou and Olivier Elemento. The Genomics Center’s focus is on using state-of-the-art next-generation sequencing (NGS) experimental approaches, including transcriptomics and epigenomics, to identify pathogenic mechanisms and new treatments for rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and other autoimmune, inflammatory and musculoskeletal diseases. [More]
Postdoctoral fellow with experience in lymphocyte biology, adaptive immunology, or lymphoid malignancies and an interest in learning the other fields. The postdoc will be responsible for prosecuting two funded projects, one in B cell Acute Lymphocytic Leukemia, and the other in Follicular Lymphoma. Responsibilities span the full length of the projects, from IRB and sample management to data quality control, analysis, and manuscript preparation. [More]
A Post-Doctoral Research Fellow position is available in Dr. Wei Sun’s group at the Fred Hutchinson Cancer Research Center. [More]
A Postdoctoral Research Fellow position is available immediately to work on a collaborative project between the laboratory of Eric Holland and Hamid Bolouri in the Human Biology Division of the Fred Hutchinson Cancer Research Center (FHCRC), Seattle, WA. The postdoctoral fellow will join ongoing efforts under the auspices of the Solid Tumor Translational Research Initiative (http://www.sttrcancer.org/) to develop data analysis and visualization methods for large-scale, molecularly-detailed, patient timeline data (see http://www.fredhutch.org/en/labs/hidra.html, http://www.fredhutch.org/en/news/center-news/2014/06/hidra-database-affects-cancer-treatment.html, and http://oncoscape.sttrcancer.org/) [More]