Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
their acceptance of the position according to the instructions given in the offer notification. Further information Aiste Ivanauskaite, DPT coordinator aiste.ivanauskaite@utu.fi tech-doc@utu.fi Doctoral Programme in
-
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Doctoral programme on
-
staff members, our Faculty is a large academic community. In the Doctoral Programme in Administrative Sciences, Business Studies and Politics , students can complete the following doctoral degrees: Doctor
-
) Country Finland Application Deadline 10 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
-
, computational biology, data science or a related field. Applicants with a PhD or MSc degree from other fields must have substantial demonstrated experience in bioinformatics data analysis. Several years
-
4 Oct 2025 Job Information Organisation/Company Tampere University Research Field Computer science » Other Economics » Management studies Engineering » Industrial engineering Researcher Profile
-
of Biotechnology at the University of Helsinki. We study structural mechanisms and biological functions of mechanosensitive membrane microdomains. By using a combination of structural biology, biochemistry, in vitro
-
Deadline 14 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
-
. Qualifications Eligible applicants are required to have an M.Sc. or equivalent degree, which must be in a relevant field of research, such as molecular biology or cell biology, microbiology and/or virology
-
learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted drug design” is led by Docent Juri Timonen