Sort by
Refine Your Search
-
February 2026. FURTHER INFORMATION Further information about the position is available from Professor Tomi Huttunen tomi.huttunen@helsinki.fi . For enquiries about the recruitment process, please contact HR
-
and environmental research (Tvärminne, Lammi and Kilpisjärvi). Application procedure. Applicants are requested to enclose with their applications the following documents in English: CV A report on the
-
artificial intelligence/geospatial AI, methods of machine learning and deep learning development of computer vision applications and image recognition methods analysis and production of big data, including
-
(tuomas.m.heikkila@helsinki.fi ). Further information about the recruitment process can be obtained from recruitment@helsinki.fi . Application timeline Application deadline: 19 February Shortlisting completed by: 31
-
to uncover how ecological processes propagate across blue–green boundaries and shape biodiversity patterns at local to regional scales. The doctoral researcher is expected to actively contribute to field
-
technology, plants, animals, environment and society. Many future trends in agriculture require adoption of new technologies and their integration within existing processes. Electrification of machinery
-
information about the position may be obtained from Director of Clinicum, Professor Klaus Olkkola, klaus.olkkola(at) helsinki.fi , tel. 040 7583655. Enquiries regarding the recruitment process: HR Specialist
-
, Professor Klaus Olkkola, klaus.olkkola(at) helsinki.fi , tel. 040 7583655. Enquiries regarding the recruitment process: HR Specialist Tania Sawkins, tania.sawkins(at)helsinki.fi, tel. 02 941 26619. Technical
-
tomi.huttunen@helsinki.fi . For enquiries about the recruitment process, please contact HR Specialist Jenni Syväoja (jenni.syvaoja@helsinki.fi ). Where to apply Website https://www.timeshighereducation.com
-
. Demonstrated experience in machine learning–based image analysis / computer vision, preferably using microscopy data Strong programming skills in Python Additional background in AI and machine learning