26 engineering-image-processing-phd Postdoctoral positions at UNIVERSITY OF HELSINKI in Finland
Sort by
Refine Your Search
-
. Should you have any questions, need assistance or adjustments during the recruitment process, please contact phd-positions@helsinki.fi – we’re here to support you. A diverse and equitable study and work
-
breeding procedures for testing hypotheses arising from the analyses. Are you a technology wizard, determined to apply your skills in something that really matters? Or, alternatively, you have a solid
-
. Qualifications of the postdoctoral researcher The position requires a doctoral degree relevant for the project, for instance a PhD in plant sciences or plant ecology, and the ability to conduct independent
-
menu at the top of the page to see detailed instructions. Should you have any questions, need assistance or adjustments during the recruitment process, please contact phd-positions@helsinki.fi – we’re
-
/researchgroups/nuclear-organization-by-actin) . We are seeking a motivated researcher to join our team in the field of cell and molecular biology. By combining advanced imaging techniques with functional genomics
-
, biogeochemical cycles and ecosystem processes. Faculty of Science invites applications for Postdoctoral Researcher and/or Doctoral Researcher in Atmospheric Sciences / Environmental Sciences The starting date is
-
% of annual working time). Requirements and eligibility criteria The Postdoctoral Researcher should have a PhD degree in computer science or bioinformatics (or related fields) with an emphasis on computational
-
/or medication security and sustainability. The position is open to applicants with a PhD degree in law with a topic that gives a good background for a post doc in this area. The post doc is expected
-
of the near critical Ising model, or the massive Thirring model. Qualifications We are looking for applicants with a PhD in mathematics or theoretical physics, with experience in mathematically rigorous
-
collection and/or experimentation. We seek candidates who have completed a PhD in ecology or a related field, have strong conceptual and statistical skills, and experience working with large and complex