Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
The Fagerholm and Harjunpää groups at the Molecular and Integrative Bioscience (MIBS) Research programme, Faculty of Bio- and Environmental Sciences, University of Helsinki are inviting applications
-
Advisory Board on Research Integrity and including contact information of two academics who can provide reference letters. A short and free-form motivation/cover letter (max 2 pages), including your
-
in training and inference, integrated with our cluster. You don't need special knowledge already when applying - general knowledge of machine learning practices is enough, and you'll learn more later
-
interventions that reduce harm, promote healthier information consumption, and strengthen both individual and collective resilience. POLEMIC: POLarization Entangled with Mental well-being: Integrated and
-
of the Finnish Advisory Board on Research Integrity: http://www.tenk.fi/en/template-researchers-curriculum-vitae List of publications following the guidelines of the Academy of Finland: List of publications
-
structured postdoctoral programme that integrates science, technology, and entrepreneurship. Moreover, IMMUFELLOW ensures comprehensive research quality and training opportunities beyond academia, and
-
offers a structured postdoctoral programme that integrates science, technology, and entrepreneurship. Moreover, IMMUFELLOW ensures comprehensive research quality and training opportunities beyond academia
-
-frequency sensing and data transfer (ISAC) are integrated into the same devices. The research project is part of a larger consortium, gathering world-class researchers in remote sensing with expertise ranging
-
on hierarchical Bayesian models that allow us to integrate heterogeneous, but complementary, ecological and environmental data. Depending on the background and interest of the candidate, the work will focus on a
-
are seeking a postdoctoral researcher to develop methods for analyzing large scale biodiversity and ecosystem function data. Our approach is based on hierarchical Bayesian models that allow us to integrate