Postdoctoral position in Molecular Evolution Are you interested in working with the analysis of existing genomic and proteomic datasets, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a Postdoctoral position at Uppsala University. The Department of Cell and Molecular Biology is divided into seven research programs, each focusing on different areas within cell and molecular biology: computational biology and bioinformatics, microbiology and immunology, molecular biology, molecular biophysics, molecular evolution, molecular systems biology, and structural biology. The scientific foundation of what we do lies in biology, but our research overlaps with other fields such as medicine, computer science, mathematics, chemistry, engineering, and physics. The department has over 200 employees, including around 60 doctoral students. Please read more about our work at https://icm.uu.se. The position is placed in the Molecular Evolution program, with main supervisor Jennifer James. The applicant will become a member of a newly established research group focusing on mutational robustness, with the overall aim of improving our understanding of the fitness effects of new mutations and the evolution of the proteome. If you are interested in using bioinformatics and computational biology to address big question in evolutionary biology, please get in touch! Duties The project will involve the analysis of existing genomic and proteomic datasets. The successful applicant will be responsible for conducting statistical analyses, and for writing and publishing scientific articles. There are two specific research projects that the applicant could spearhead, with flexibility for the applicant to shape the direction of their research to their skillsets and interests. In the first project, the applicant will explore proteome evolution to understand the effects that speciation and duplication at the level of the protein sequence have on the functional and structural diversity of proteins. The applicant will build protein-level phylogenetic trees to assess the relationship between these processes. The applicant will also examine whether mutational robustness confers an adaptive advantage, by assessing whether the most mutationally robust sequences have undergone the greatest degree of expansion over evolutionary time. In the second project, the applicant will focus on investigating patterns of molecular evolution and mutational robustness that vary with genome structure and gene function, by investigating patterns in the fitness effects of new mutations. The project could also include a consideration of the effects of large-scale genome structure changes, such as variation in genome size. Requirements We are looking for a highly motivated individual with a PhD degree in biology or a foreign degree equivalent to a PhD degree in biology. The degree needs to be obtained by the time of the start date of employment. Priority will be given to applicants who have completed their degree no more than three years before the deadline for applications. Due to special circumstances, the degree may have been obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc. Candidates must be able to express themselves fluently in spoken and written English. A population genetics or evolutionary biology background will be considered beneficial for this position. The applicant will be responsible for the collaborative creation and curation of protein and DNA datasets, and as such experience of computational biology or bioinformatics is desired, as are good communication skills, and the ability to work collaboratively. The ideal candidate is comfortable with bioinformatics and performing analyses on sequence data, and enjoys exploring research ideas independently. Additional qualifications Ability to code in Python is a valuable skill for this post. Experience working with a high-performance computer cluster is also important, as is an ability to use command line tools, and to conduct statistical analyses in programmes such as R. About the employment The employment is a temporary position of 2 years according to central collective agreement. Full time position. Starting date 2025-02-10 or as agreed. Placement: Uppsala Application Please submit your application through Uppsala University's recruitment system. Please submit your application by the 3rd of January 2025, UFV-PA 2024/4191. For further information about the position, please contact: Jennifer James, jennifer.james@icm.uu.se Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden. Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden's most exciting workplaces. Read more about our benefits and what it is like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The position may be subject to security vetting. If security vetting is conducted, the applicant must pass the vetting process to be eligible for employment. Placement:Uppsala universitet Scope:Full time Working hours:100% Type of employment:Temporary position Pay:Individual salary Number of positions:1 Town:Uppsala Union representatives:Seko Universitetsklubben seko@uadm.uu.se ST/TCO tco@fackorg.uu.se Saco-rådet saco@uadm.uu.se Number of reference:UFV-PA 2024/4191 Last application date:3 January 2025 När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/ E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy Jennifer James (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)