Difference between revisions of "Positions in yeast labs"
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| + | ==Technician Position - Yeast Cell Biology - London UK== | ||
| + | A research technician position is available in the Thorpe lab at the MRC National Institute for Medical Research, Mill Hill, London (http://www.nimr.mrc.ac.uk/research/peter-thorpe/). The lab uses the yeast, ''Saccharomyces cerevisiae'' to study fundamental aspects of cell division. The project is focussed upon identifying the molecular pathways that control asymmetric cell division. We employ a combination of yeast genomics approaches and high-throughput fluorescence microscopy to identify the genes responsible for asymmetry in yeast. The work involves supporting the goals of the lab and will include yeast genetics, genomics, fluorescence imaging and image analysis. Preference will be given to candidates with strong computer-based skills including the use of standard office software, DNA sequence analysis, database management and image analysis. | ||
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| + | Applications are handled by the RCUK Shared Services Centre; to apply please visit the job board at https://ext.ssc.rcuk.ac.uk and complete an online application form. Applicants who would like to receive this advert in an alternative format (e.g. large print, Braille, audio or hard copy), or who are unable to apply online should contact us by telephone on 01793 867003. Please quote reference number IRC23869. | ||
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| + | Closing date for applications is 4th July, 2011. | ||
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==Yeast quantitative genetics post-doctoral positions at Duke University Medical Center== | ==Yeast quantitative genetics post-doctoral positions at Duke University Medical Center== | ||
Positions are available for post-docs to work on a recently NIH funded grant “High throughput S. cerevisiae HAM, GWA & QT/QTL architecture resource”. Our understanding of quantitative traits, which includes pharmacogenetic variations in human drug efficacy and side effects, is poor. Improving our understanding of quantitative traits and of pharmacogenetics is aided by tractable model systems, such as Saccharomyces cerevisiae. In this study, we develop a novel S. cerevisiae genetic resource population for high throughput haploid association mapping (HAM) and genome wide association (GWA). | Positions are available for post-docs to work on a recently NIH funded grant “High throughput S. cerevisiae HAM, GWA & QT/QTL architecture resource”. Our understanding of quantitative traits, which includes pharmacogenetic variations in human drug efficacy and side effects, is poor. Improving our understanding of quantitative traits and of pharmacogenetics is aided by tractable model systems, such as Saccharomyces cerevisiae. In this study, we develop a novel S. cerevisiae genetic resource population for high throughput haploid association mapping (HAM) and genome wide association (GWA). | ||
We will use the high quality genome sequences of 96 S. cerevisiae strains to generate a novel genetic resource population that we will use to perform high throughput determination of quantitative trait (QT) and quantitative trait loci (QTL) architecture. Start dates are open. Candidates should have recently received their Ph.D. (0 to – at most – 4 years) and should have expertise in yeast genetics/molecular biology and/or quantitative/population genetics. Candidates should email their curriculum vitae (pdf), including the names and contact information for three references, to John McCusker at mccus001@mc.duke.edu. | We will use the high quality genome sequences of 96 S. cerevisiae strains to generate a novel genetic resource population that we will use to perform high throughput determination of quantitative trait (QT) and quantitative trait loci (QTL) architecture. Start dates are open. Candidates should have recently received their Ph.D. (0 to – at most – 4 years) and should have expertise in yeast genetics/molecular biology and/or quantitative/population genetics. Candidates should email their curriculum vitae (pdf), including the names and contact information for three references, to John McCusker at mccus001@mc.duke.edu. | ||
Revision as of 00:21, 21 June 2011
Technician Position - Yeast Cell Biology - London UK
A research technician position is available in the Thorpe lab at the MRC National Institute for Medical Research, Mill Hill, London (http://www.nimr.mrc.ac.uk/research/peter-thorpe/). The lab uses the yeast, Saccharomyces cerevisiae to study fundamental aspects of cell division. The project is focussed upon identifying the molecular pathways that control asymmetric cell division. We employ a combination of yeast genomics approaches and high-throughput fluorescence microscopy to identify the genes responsible for asymmetry in yeast. The work involves supporting the goals of the lab and will include yeast genetics, genomics, fluorescence imaging and image analysis. Preference will be given to candidates with strong computer-based skills including the use of standard office software, DNA sequence analysis, database management and image analysis.
Applications are handled by the RCUK Shared Services Centre; to apply please visit the job board at https://ext.ssc.rcuk.ac.uk and complete an online application form. Applicants who would like to receive this advert in an alternative format (e.g. large print, Braille, audio or hard copy), or who are unable to apply online should contact us by telephone on 01793 867003. Please quote reference number IRC23869.
Closing date for applications is 4th July, 2011.
Yeast quantitative genetics post-doctoral positions at Duke University Medical Center
Positions are available for post-docs to work on a recently NIH funded grant “High throughput S. cerevisiae HAM, GWA & QT/QTL architecture resource”. Our understanding of quantitative traits, which includes pharmacogenetic variations in human drug efficacy and side effects, is poor. Improving our understanding of quantitative traits and of pharmacogenetics is aided by tractable model systems, such as Saccharomyces cerevisiae. In this study, we develop a novel S. cerevisiae genetic resource population for high throughput haploid association mapping (HAM) and genome wide association (GWA).
We will use the high quality genome sequences of 96 S. cerevisiae strains to generate a novel genetic resource population that we will use to perform high throughput determination of quantitative trait (QT) and quantitative trait loci (QTL) architecture. Start dates are open. Candidates should have recently received their Ph.D. (0 to – at most – 4 years) and should have expertise in yeast genetics/molecular biology and/or quantitative/population genetics. Candidates should email their curriculum vitae (pdf), including the names and contact information for three references, to John McCusker at mccus001@mc.duke.edu.
