Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
-
or related domains, will be seen as a strong advantage for applicants. Proficiency in programming (C/C++, OpenGL, R) and experience in data mining or machine learning will be considered advantageous, wherein
-
vision), and the division of statistics and machine learning at the department of computer and information science (focusing on the theory behind machine learning). The employment When taking up the post
-
, modelling, and understanding the function of the nervous system. The field encompasses hardware-oriented instrumentation, signal and image processing, data-driven and physics-based models, as well as clinical
-
Engineering, go to: https://liu.se/en/article/open-positions-at-isy . The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral
-
sciences within the broad field of environmental science with professional expertise from the banking sector and from agriculture. Today, reliable, detailed data are lacking regarding the greenhouse gas
-
well as the efficacy of the live rotavirus vaccines. In this project we will combine evolutionary analyses, historical data, and functional organoid studies in a multidisciplinary approach. By performing analysis
-
the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University The employment has a
-
that values scientific curiosity, independence, and teamwork. More information about the division is available at: https://liu.se/organisation/liu/isy/rt . The employment When taking up the post, you will be
-
performance should improve over time as more data becomes available. The diagnostic conclusions will be presented to an operator using a combination of AI-based fault isolation algorithms and data-driven