Sort by
Refine Your Search
-
requires fluency in spoken and written English. Knowledge and experience in one or more of the following areas would be advantageous: experiences in applied visualization, topological data analysis, and
-
’ learning and experiences in public educational environments, such as the Visualization Center in Norrköping. The goals of the project are to identify AI-guide characteristics, investigate interactions
-
if you have worked with prediction models, machine learning or AI models and are familiar with blood cells such as neutrophils, leukocytes and platelets. Work experience in the area is meritorious. If you
-
the subject areas of IAS research. An interest in working in a collaborative environment. Desirable skills and experience include: Experience with state-of-the-art research methods, such as social network
-
application! A brighter future! How does lighting design affect future design and product development processes and how digital tools such as VR/MR can contribute to experimentation and evaluation. Your work
-
(and the willingness to learn more), with an interest in biological/ecological questions; Experience with programming or the willingness to learn to program (the lab relies mostly on R and C++, but
-
CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm
-
to collaborate with others essential. You should also enjoy sharing your work and results with both internal and external stakeholders. Previous experience with energy or environmental systems analysis, LCC (life
-
, analytical chemistry, chemistry, chemical biology, chemical engineering, microbiology, environmental science and technology, or equivalent. Documented practical experience and theoretical knowledge
-
, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and collaborations with experimental