Population genetic analytic technician
Sveriges lantbruksuniversitet / Kemiingenjörsjobb / Umeå
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hela Sverige The Department of Forest Genetics and Plant Physiology was founded in the late 1970s - when the College of Forestry moved to Umeå. The number of employees has since grown steadily is now around 100, including postdoctoral researchers and postgraduate students. In the late 1990s it was decided to join with the Department of Plant Physiology at Umeå University to form a research center, Umeå Plant Science Centre (UPSC). The Department of Forest Genetics and Plant Physiology moved into the premises adjacent to the partner department and together have developed a close and successful collaboration on research issues, technology platforms, and training of master's and doctoral level students. The international element within UPSC is large, with over 40 nationalities represented.
The department conducts introductory and advanced training in plant physiology, ecophysiology, plant molecular biology, forest genetics and forest biotechnology within the Forestry program and at the master level.
The department offers postgraduate studies in biology, specializing in plant physiology, ecophysiology, plant molecular biology and forest genetics. Postgraduate courses are generally held in cooperation with the Department of Plant Physiology.
For more information about the Department of Forest Genetics and Plant Physiology and UPSC visit
www.upsc.se.Department of Forest Genetics and Plant Physiology
Read more about our benefits and what it is like to work at SLU at
https://www.slu.se/en/about-slu/work-at-slu/Duties:
The employment is part of the project Genetic basis of adaptive response in conifers, which aims to understand the genetic basis of climate adaptation in conifers, and in an applied context, predict individuals that can make locally adapted populations more resistant to changing climates.
The technician is expected perform population genetic analysis on a large population of Norway Spruce (Picea abies) from across Europe.
Qualifications:
The applicant must have experience in bioinformatic and population genetic analysis using reduced representation and whole genome sequence conifer data. The candidate must have very good knowledge of R and bash. Very good skills in written and spoken English is obligatory.
Place of work:
Department of Forest Genetics and Plant Physiology, SLU, Umeå (Sweden)
Form of employment:
Fixed term employment of 12 months.
Extent:
100%
Starting date:
2024-03-01 or according to agreement.
Application:
We welcome your application no later than 2023-11-22, please use the button below.
Academic union representatives:
https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/The Swedish University of Agricultural Sciences (SLU) has a key role in the development for sustainable life, based on science and education. Through our focus on the interaction between humans, animals and ecosystems and the responsible use of natural resources, we contribute to sustainable societal development and good living conditions on our planet. Our main campuses are located in Alnarp, Umeå and Uppsala, however, the university also operates at research stations, experimental forests and teaching sites throughout Sweden.
SLU has around 3,000 employees, 5,000 students and doctoral students and a turnover of over SEK 3 billion. We are investing in attractive environments on all of our campuses. We strive to provide a work environment characterised by inclusivity and gender equality, where different experiences generate conversations between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives.
Ersättning According to agreement
Så ansöker du Sista dag att ansöka är 2023-11-22
Klicka på denna länk för att göra din ansökan Omfattning Detta är ett heltidsjobb.
Arbetsgivare Sveriges Lantbruksuniversitet (org.nr 202100-2817),
http://www.slu.se Arbetsplats Sveriges lantbruksuniversitet
Jobbnummer 8247870
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