Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
://www.skogforsk.se/ Qualifications You should have a university degree in forestry or biology with a strong interest in quantitative methods or be a civil engineer or mathematician with a strong interest in forestry
-
visualization researchers, AI specialists, research engineers, educational scientists, and pedagogues across Linköping University, Visualization Center C in Norrköping, and Umeå University to investigate
-
: Master’s degree in biomedicine or biostatistics. Doctor of medicine degree with clinical practice experience. Certified training in R and Python software. Documented experience using machine learning and
-
departments within the Faculty of Science and Technology with approximately 200 employees and strong and expanding research. The Department has four major research areas: Biological Chemistry, IBEAM, Organic
-
of Science and Technology with approximately 200 employees and strong and expanding research. The Department has four major research areas: Biological Chemistry, IBEAM, Organic chemistry and Technical
-
environment with wide-ranging expertise spanning data-driven imaging, clinical science, molecular biology, bioinformatics, and biomedical engineering, all working together to improve atherosclerotic and
-
. Digital technology has become an enabler for changed ways of living and doing business. In our research, we study these changes and change processes and we study the interaction between humans and
-
learning, deep learning and relevant software framework (R and Python) is highly desired. Very good oral and written communication skills in English are required. Emphasis will also be given on personal
-
information for three reference persons. Documentation and description of other relevant experiences or competences, including software projects. The application must be written in English or Swedish
-
method for understanding complex genomic alterations. While sequencing technologies have made a leap forward, work is still needed on the computational side to fully use the technology. This is an