Sort by
Refine Your Search
-
LanguagesENGLISHLevelGood Additional Information Benefits We offer a fully funded 4 year PhD position. Position: PhD Researcher Duration: 4 years. Salary: Competitive salary in accordance with KU Leuven's doctoral
-
on fundamental research as on applied research. Eligibility criteria You have or will have obtained (close to the starting date) a PhD in Information Systems Engineering/Informatics/Computer Science/Machine
-
activity measures, self-reports, questionnaires and peripheral psychophysiological responses (e.g., breathing patterns). Apart from the acquisition and statistical analysis of the data, the PhD student will
-
will have obtained (close to the starting date) a PhD in Machine Learning, Data Mining, Computer Science, Information Systems Engineering, Informatics, Statistics, or a related discipline with a focus on
-
of the data, the PhD student will also be responsible for the scientific reporting of the results in international peer-reviewed journals and at scientific conferences. The conducted line of experimental
-
abilities are required. Applicants should have a solid foundation in quantitative (e.g. survey) and qualitative methods, with experience in data analytic tools such as SPSS, AMOS, R, .... A strong commitment
-
and supervise PhD and master's students, nurturing in this way the next generation of scientists.• Dive deep into metabolomics analysis and multi-omics data interpretation.• Supervise the development
-
learning to quickly draw actionable insights from various data streams. Stream Reasoning has numerous applications, such as in autonomous vehicles, robotics, web analytics, and the Internet of Things. In
-
17 May 2024 Job Information Organisation/Company KU Leuven Research Field Economics » Other Researcher Profile Recognised Researcher (R2) Country Belgium Application Deadline 9 Jun 2024 - 00:00 (UTC
-
. Requirements Research FieldLiteratureEducation LevelMaster Degree or equivalent LanguagesENGLISHLevelGood LanguagesITALIANLevelExcellent Additional Information Benefits The PhD students will be supervised by