30 data-"https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" PhD positions at Umeå University
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. The position covers four years of doctoral studies, including participation in research and doctoral courses. The last day to apply is April 30th, 2026. Project description and tasks Spatial data arise in
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administrative and technical services—all within a setting that offers attractive employment conditions. To learn more about the department, please visit: https://www.umu.se/en/department-of-computing-science
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quantum physics/chemistry, inorganic and materials chemistry, solid state chemistry or physics. · Good laboratory skills and interest in experimental research. · Programming skills for modeling and data
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, holiday leave, and occupational health services. Read more about the benefits of being an employee at Umeå University here: https://www.umu.se/en/work-with-us/benefits/ . Application You apply via our e
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with us, you receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the
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semesters (6 years), with programme starts each autumn and spring semester. More information about the programme can be found on the faculty web site - Doctoral studies at the Faculty of Medicine . About the
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two pages) 2. CV 3. Diplomas of bachelor and Master level degrees 4. Bachelor/Master theses work/other relevant publications 5. Other merits of relevance for the position 6. Contact information to two
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/other relevant publications Other merits of relevance for the position Contact information to two reference persons Attached documents must be in Word or PDF format. Please note that incomplete
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described in “Focus of the Doctoral Position” 6. Contact details for two references (e.g., previous supervisors) Incomplete applications will not be considered. Further Information For more information about
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research program that aims to understand the genetic principles of complex trait plasticity and develop climate-resilient plants using innovative techniques such as omics data interpretation, gene editing