Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Infrastructure? No Offer Description We are looking for a PhD student or Postdoc with a background in geodesy, geophysics, geosciences or related discipline to join the Department of Geodesy and Geodynamics
-
Doctoral Researcher in statistical signal processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from
-
. This position will be similar to a postdoc, but with an emphasis on research infrastructure and technology rather than preparation for an academic career path. You will be involved in research, but more focused
-
. We welcome applications at both postdoc and doctoral levels. The projects run for 4 years, and the starting date for the positions is flexible. The duration of the doctoral positions is 4 years, but
-
. This position will be similar to a postdoc, but with an emphasis on research infrastructure and technology rather than preparation for an academic career path. You will be involved in research, but more focused
-
of Advanced Mathematics for Sensing, Imaging and Modelling (2024–2031). The group is also supported by a Research Council of Finland Fellowship under the project SPARSe (2025–2029), further strengthening its
-
applications at both postdoc and doctoral levels. The projects run for 4 years, and the starting date for the positions is flexible. The duration of the doctoral positions is 4 years, but the length
-
internationally through an open, transparent, and merit-based recruitment process based on external anonymous peer review. Successful applications will be selected based on academic excellence. For more information
-
to understand the damage and repair processes in the central nervous system (CNS) with the aim to unlock the endogenous repair potential. The group has a strong focus on neural regeneration and disease
-
researchers are recruited internationally through an open, transparent, and merit-based recruitment process based on external anonymous peer review. Successful applications will be selected based on academic