Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
application! At the Department of Electrical Engineering, Division of Automatic Control, we are now looking for a PhD student, to be admitted to the WASP graduate school. Your work assignments The research area
-
. Read more: https://wasp-sweden.org/graduate-school/ . Your qualifications You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a minimum of 240
-
(e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. Applications are received via the university’s electronic recruitment system. It should
-
application! We are looking for one or two PhD students in Multiagent Automatic Control at the Information Coding Division (ICG), which is based at the Department of Electrical Engineering (ISY). You will be
-
We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting challenges of today. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate,...
-
engineering, computer science, physics engineering, or equivalent) Programming skills in Python or another language Strong work ethic Fluency in English, with the ability to write, communicate, and interact in
-
(Professor, SLU) and Peter Bergman (Head of Conservation at Sveaskog). Read more about WIFORCE and it Research School here: https://www.slu.se/WIFORCE/en Read more about the Department of Forest Mycology and
-
of justice, knowledge and power in agriculture and forestry, natural resource management and development in rural areas. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en
-
Master Programmes, at the Faculty of Medicine, and at the Disciplinary Domain of Science and Technology. The department has a yearly turnover of around SEK 500 million, out of which more than half is made
-
or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or it may use population-scale genetic, clinical, or public health