BioSS has two vacancies for research positions in computational systems
biology (one PhD and one postdoc) to investigate regulatory and
signalling networks controlling bacterial disease development
This is an exciting opportunity to join a multidisciplinary team integrating post-genomic approaches with computational biology and mathematical modelling to investigate the complex and dynamic exchanges of signals influencing regulatory networks and biochemical pathways in bacterial pathogen-host interactions. The team will be established as part of a SEERAD-funded initiative on systems biology
(see http://www.bioss.sari.ac.uk/~dirk/jobs/jobAdvert.pdf ) and will join established research groups at three Scottish Institutions. The focus will be on two pathosystems: potato- Erwinia carotovora subsp. atroseptica ( Eca ) and cattle respiratory tract- Pasteurella multocida ( Pm ).
1)
Postdoctoral Researcher in Genetic Network Analysis to use machine learning and bioinformatics approaches to infer hypothetical genetic networks in potato- Eca and cattle respiratory tract- Pm interactions from gene expression and proteomic data. We are looking for a highly qualified and strongly motivated candidate with experience in machine learning, computer simulations, statistics and programming. Candidates should have a good degree in mathematics, physics, computer science, or a related discipline, and relevant postgraduate experience (PhD preferred). The appointment is for a period of 3 years and will be based at BioSS Edinburgh. Starting salary will be in the range £21,700 - £25,200. For further information, see:
http://www.bioss.sari.ac.uk/appointments/newpost1.html
2)
PhD in Structural Genomics to identify regulatory motifs in Eca and Pm promoters using Hidden Markov Models and investigate their distributions throughout the two genomes. Genome-wide promoter analysis will identify potentially co-regulated genes to inform the hypothetical regulatory pathways inferred by genetic network analysis (above) and predict how these pathways interact (through shared regulatory motifs). Applicants should have a first or upper second class degree or MSc in computational biology or bioinformatics. For further information, see:
http://www.bioss.sari.ac.uk/appointments/newphdfw.html
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