Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- Umeå University
- Swedish University of Agricultural Sciences
- Chalmers University of Technology
- SciLifeLab
- Linköping University
- Nature Careers
- Linnaeus University
- Lulea University of Technology
- Mälardalen University
- Blekinge Institute of Technology
- Jönköping University
- Karlstad University
- University of Borås
- ;
- KTH
- Örebro University
- 7 more »
- « less
-
Field
-
doctoral programme in textile and fashion design. Particular focus will be on fine arts education and fine arts research in textiles, clothing, and fashion, both theoretical and practical. Your duties
-
research and teaching plan together, which will be used to monitor and evaluate progress. The plan will be reviewed midway through the appointment (after approximately two years) to ensure the best possible
-
of the department’s programs and courses, from undergraduate to advanced levels. 50% of the position is dedicated to teaching, including administrative duties. 50% is dedicated to research. The incumbent is expected
-
partners in research and education. The department works together with the neighboring departments for a creative environment with challenging educational program and cutting-edge research. Research in
-
programming skills and finite element (FE) analysis experience is a requirement. Knowledge of machine learning, Matlab and Abaqus is also highly desired. Previous experience with parametrization and automation
-
successful applicant admitted to the doctoral programme will take part in the GATE graduate school – the Graduate School of Advanced Technology and Enterprising – and work in collaboration with companies in
-
mathematical maturity and programming skills, and very good English skills, both orally and in writing. We also look for ability to work independently and to formulate and address technical and scientific
-
to teach in Swedish within three years, and if necessary, a language plan will be created in connection with the appointment as support. Eligibility Those eligible to be employed as associate professor
-
to build sequence dependent predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming
-
ECTS relevant to the doctoral thesis project. Out of this, at least 30 ECTS have to be in a subject closely related to the research topic of the graduate program. Applicants who have acquired equivalent