-
will be expanded with the recruitment of 19 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School
-
well-equipped laboratory facilities for research and a good inter-disciplinary academic network in Sweden and abroad. Subject description Machine learning focuses on computational methods by which
-
others, we are a key partner in the joint SLU and Umeå University - CERE ; we host the head office of European Forest Institute’s Forest Bioeconomy Network . The Department has strong domestic and
-
than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and
-
than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and
-
Rosén and Andreas Lindhe (Department of Architecture and Civil Engineering ). We have a strong network with national and international organizations within academia, public authorities and industry. About
-
and Lars Arneborg from the Swedish Meteorological and Hydrological Institute (SMHI). We have a strong network with national and international organizations within academia, public authorities and
-
application! This position is in a lab with an interest in many aspects of theoretical ecology (coexistence, niche theory, ecological networks, metacommunities, eco-evolutionary dynamics, and more), where you
-
that handle large signal losses and are robust against space-based interference, developing network technology that integrates land and space systems, and developing new intelligent applications that combine
-
, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD students, researchers and practitioners in the field. It thus provides added value