Postdoctoral researcher positions in Artificial Intelligence and Computatio
at KU SCIENCE PLEN
1871 Frederiksberg, Region Hovedstaden, Denmark -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 30 Nov, 2024 | Not Specified | 30 Oct, 2024 | N/A | Good communication skills | No | No |
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Description:
Department of Plant and Environmental Science, Section for Plant Biochemistry, invites applicants for several postdoctoral positions within the topics of using computational biology and artificial intelligence to understand gene function in plants. The aim is to use recent advances in machine learning, large language models and the generation of high-throughput data to gain new insights into how plant genes function and are regulated spatiotemporally.
The projects are part of the Starting Grant package awarded to Assoc. Prof. Marek Mutwil, which is financed by The Novo Nordisk Foundation.
Start date is 1 February 2025 or as soon as possible thereafter. Employment period is 2 years
The postdoc’s duties will include research within Artificial Intelligence and Computational Biology. as well as teaching. The post may also include performance of other duties.
Further information on the Department is linked at http://www.science.ku.dk/english/about-the-faculty/organisation/ . Inquiries about the position can be made to Marek Mutwil, mutwil@plen.ku.dk .
Responsibilities:
- Achieve key performance indicators of the research project
- Become proficient in the technical skills and knowledge required to complete the project
- Design and implement the bioinformatics analyses
- Supervise and train research staff and undergraduate students
- Participate in writing research proposals
- Regularly communicate research progress
- Present data on regular group meetings
- Present results on external conferences and meetings
- Take lead in writing manuscripts
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Education Management
Pharma / Biotech / Healthcare / Medical / R&D
Education, Teaching
Graduate
Programming algorithm development mathematics complexity and puzzles
Proficient
1
1871 Frederiksberg, Denmark