Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
position Eligibility requirements Other qualifications Application A complete application must include: 1. A cover letter summarizing your qualifications, scientific interests and motives for applying (max
-
development areas, and machine learning accounts for much of the recent success in artificial intelligence. Large-scale machine learning open up for incredible opportunities in many different applications and
-
curiosity, courage and openness, with a close connection between people, professional roles, disciplines and research. Gender equality, diversity and a democratic approach form the foundation of our
-
School of Architecture (UMA), UmArts, and the Gender Research School at Umeå Centre for Gender Studies (UCGS), at Umeå University. The application deadline is 30 January 2026. Umeå School of Architecture
-
. The application should also include a degree certificate or equivalent and any other document to which you would like to draw attention (copies of grade transcripts, details of referees, letters of recommendation
-
5 kap 7§. The proposed start date is March 1st 2026, or as agreed. How to apply Applications are to be submitted via the University’s recruitment system. The application should include a CV and a
-
entry requirements for admission to doctoral education are a completed second-cycle level degree, or completed course requirements of at least 240 ECTS credits, of which at least 60 ECTS credits
-
studies, co-author scientific publications and grant applications, and collaborate with internal and external partners. Teaching duties may include supervising student theses and other courses at the unit
-
. Application Application documents must be submitted in Swedish or English. Must contain a CV, copies of grades and diplomas, thesis, a personal letter describing the machine learning research area you want
-
another, and we place great importance on various forms of collaboration. Description of the project This PhD project will investigate the functional performance, pathological vulnerability, and therapeutic