Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine
-
application! We are looking for a research engineer within the Division of Statistics and Machine Learning (STIMA) at the Department of Computer and Information Science. In this position, you will have the
-
for the research topic described above. This paragraph should start with the words “Suitability for research topic:”. Your qualifications You have graduated at Master’s level in machine learning, statistics
-
of full-time. Your qualifications You have graduated at Master’s level in biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related area considered
-
also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive
-
at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se/ida . The postdoc will join Linköping University’s Cognition
-
of behavioural biology are required. You should also have solid experience working with large datasets, as well as documented skills in statistical analysis and data visualisation, for example work with regression
-
statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials
-
. Documented research experience and knowledge of behavioural biology are required. You should also have solid experience working with large datasets, as well as documented skills in statistical analysis and
-
graduated at Master’s level in machine learning, statistics, computer science, fluid mechanics, or a related area that is considered relevant for the research topic of the project, or have completed courses