Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
. Demonstrated skills in Python programming, or other computer programming. Strong interest in data science, such as data collection and curation, modelling. Excellent written and oral English communication skills
-
courses and educational programs in forestry and wood technology at both undergraduate and advanced levels. Subject area for the position: Postdoc fellowship in forest products Location until further notice
-
programming in, for example, R or Python. Particularly valuable is a research background in ecology, biodiversity, systems biology, or related areas, as well as experience working with time-series data, dynamic
-
; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image
-
. The research group is part of the National Program for Data-driven Life Science (DDLS), generously funded by the Knut and Alice Wallenberg Foundation: www.scilifelab.se/data-driven/ Our group focuses on studying
-
to work well both independently and in a team and have the ability to independently plan and conduct research Proficiency in spoken and written English Documented experience in publishing in international
-
position is a full-time temporary employment for two years with the possibility to extend by one (1) more year provided project funding is available and the project goes according to plan. The monthly salary
-
is carried out in close collaboration with industry and academic partners. Main responsibilities Develop a research plan and design test configurations in collaboration with senior researchers. Perform
-
the research on steel recycling and processing. Within the research subject Engineering Materials, there are several research programs spanning broad areas of metallic and ceramic materials research
-
communication skills in English are required. Assessment criteria: Good programming skills (e.g., C++, Python, Julia), knowledge of the most common frameworks, e.g., Tensorflow and JAX, and cloud platforms/deployment