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Job Description: Applications are invited for a three-year Postdoctoral Fellowship or Research Scientist position in phylogenomics. The position will be based at CSIRO Entomology, which is part of the Black Mountain Laboratories in Canberra, Australia. The appointee will join the newly established Bioinformatics and Phylogenomics Laboratory, led by Dr Lars Jermiin, and will be involved in comparing the Helicoverpa genome and proteome to those of other insects, with the aim to improve our understanding of how these genomes and their encoded products (e.g., enzymes, metabolic pathways, etc.) might have evolved. You will be annotating and comparing genomic and proteomic data from a range of insects with the aim to develop a better understanding of how the Helicoverpa genome and proteome have evolved in relation to these of other species. A key component of your work will be to relate your discoveries to species-specific life-history traits from the insects compared (e.g., insecticide resistance, diet, etc.). In examining these data, there is an opportunity to use CSIRO’s excellent high-performance IT resources. You will be expected to be strongly self-motivated and able to work collaboratively as well as independently on a variety of projects; hence, being able to multitask is highly desirable. To be considered for this position, you will need to be an early to mid-career scientist with: * PhD and/or postdoctoral experience in Comparative Genomics and/or relevant related areas (due to the interdisciplinary nature of this project, applicants with a PhD and postdoctoral experience in, e.g., bioinformatics and/or molecular evolution will also be well regarded) * Practical experience in relevant areas of Statistics, Computational Science and scripting languages (e.g., Python, Perl, etc) * Evidence of an ability to develop and pursue novel research approaches * Excellent communication, personal, and inter-personal skills * Familiarity with programs for genome annotation, phylogenetics analysis, whole-genome comparisons, and protein structure and function prediction * A documented record of publishing papers in international, peer-reviewed journals For further details regarding the position and on how to apply, please go to https://recruitment.csiro.au/asp/Job_Details.asp?RefNo=2009%2F1056 Deadline 29 January, 2010
Location: Padova, Italy
Contact: alessandro [dot] grapputo [at] unipd [dot] it
Contact: alessandro [dot] grapputo [at] unipd [dot] it
Location: Michigan, USA
Contact: zhng [at] umich [dot] edu
Contact: zhng [at] umich [dot] edu
Job Description: A number of Ph.D. positions are available at University College Dublin, for work on machine learning methods for the prediction of properties of proteins, RNA, drug-like compounds. Candidates will request funding directly to the grant agency (www.ircset.ie) through a simple online form, jointly with the hosting lab. The final deadline for applications is mid-January. The candidates are requested to contact me by early January at the latest to coordinate the application for funding. Results are expected by April/May 2010. I am looking for candidates with a computational background, e.g. Engineering/Computer Science, or Mathematics, Physics, Biology, Chemistry with a strong programming experience. Candidates should have been awarded their B.Sc.+M.Sc. (e.g. Laurea Specialistica), or expect to complete it by the Summer of 2010, have top marks, and be highly motivated to work on interdisciplinary research. The positions will be located within the Complex and Adaptive Systems Laboratory, a highly interdisciplinary Institute hosting over 200 researchers, at University College Dublin, the largest university in Ireland, currently ranked within the top 100 research universities in the world.