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PhD Student Position in Plant Science with Focus on Deep-learning Conifer Genomics, Sweden

Umeå University is offering a PhD Student Position in Plant Science with Focus on Deep-learning Conifer Genomics for the academic session 2024/2025. Students from all around the world are encouraged to apply for this studentship.

Applicants should hold a second-cycle degree or have completed at least 240 ECTS credits, including 60 ECTS at the second-cycle level, with 90 ECTS credits relevant to the doctoral thesis project. Proficiency in molecular biological techniques or machine learning, along with strong English language skills and experience in programming (e.g., Linux Shell, R, Python), is essential.

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Umeå University is one of the country’s largest and most dynamic educational institutions located in northern Sweden. It is renowned for its strong research environment and innovative approach to education. The university has a diverse student body of over 37,000 students and approximately 4,700 employees. It is especially known for its contributions to groundbreaking research, including the discovery of the CRISPR-Cas9 gene-editing tool, which earned a Nobel Prize in Chemistry

Application Deadline: September 2, 2024

Brief Description

  • University or Organization: Umeå University
  • Department: Umeå Plant Science Centre (UPSC), Department of Plant Physiology
  • Course Level: PhD
  • Award: Monthly salary
  • Access Mode: Online
  • Number of Awards: 1
  • Nationality: International
  • The award can be taken in: Sweden

Eligibility

  • Eligible Countries: All nationalities
  • Acceptable Course or Subjects: The scholarship will be awarded in any subject offered by the Umeå Plant Science Centre, with a focus on Plant Science, particularly in deep-learning conifer genomics.
  • Admissible Criteria: To be eligible, applicants must meet the following criteria:
    • Have a degree at the second-cycle level or completed course requirements of at least 240 ECTS credits, including at least 60 ECTS credits at the second-cycle level.
    • Completed 90 ECTS credits relevant to the doctoral thesis project, with at least 30 ECTS in a subject closely related to the research topic.
    • Possess experience in standard molecular biological techniques or machine-learning.
    • Demonstrate very good written and oral English language skills.
    • Show proficiency in working with computers and programming (e.g., Linux Shell, R, Python, Julia).

How to Apply

  • Applications must be submitted electronically via Umeå University’s e-recruitment system by September 2, 2024.
  • The complete application should include:
    • A cover letter summarizing qualifications, scientific interests, and motives for applying.
    • A Curriculum Vitae (CV).
    • Certified copies of relevant degree certificates translated to English or Swedish.
    • A master’s thesis or equivalent, and any relevant publications.
    • Transcripts with grades, translated to English or Swedish.
    • Contact information for two reference persons.

Benefits

The successful candidate will receive a monthly salary. The position offers the opportunity to work in a leading research environment at Umeå Plant Science Centre, contributing to cutting-edge research in plant genomics and deep-learning technologies.

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