47 structures "https:" "https:" "https:" "https:" "NOVA.id" research jobs at UNIVERSITY OF HELSINKI in Finland
Sort by
Refine Your Search
-
structured data sets within a joint species distribution modelling framework. For more information, see: https://www.helsinki.fi/en/researchgroups/research-centre-for-ecological-change . The Department
-
facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). YOUR PROFILE PhD in biology, mathematics, or a related field Strong background in mathematical
-
the University of Helsinki and living in Finland, please see https://www.helsinki.fi/en/about-us/careers . A diverse and equitable study and work culture is essential to us. That is why we do our best to promote
-
academic background and research interests fit the programme’s goal of diverse research training. Curriculum vitae (max. 3 pages), structured as per TENK guidelines completing the sections relevant
-
degree at the University of Helsinki can be found at https://www.helsinki.fi/en/research/doctoral-education/eligibility-and-educational-documents . Finland is a member of the EU, has high quality free
-
the programme’s goal of diverse research training. Curriculum vitae (max. 3 pages), structured as per TENK guidelines completing the sections relevant for applicant’s career stage and the target position. Two
-
for separately (www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell ). The requirements for pursuing a doctoral degree at the University of Helsinki can be found at https
-
development (https://www.helsinki.fi/en/about-us/careers ). How to apply A response to essential criteria (max 2 pages). Please ensure you provide demonstrated experiences from your previous work in relation
-
pension fund, a generous holiday package, sports facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). Required qualifications PhD (or near completion
-
on the ENERPOL home page https://cordis.europa.eu/project/id/101226229 Project description The successful applicants will join a multidisciplinary EU-funded Marie Skłodowska-Curie International PhD training