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-Doctoral Fellow in Mathematics (Statistics) Ref: 50014404 - R-AGR-3432-10-C Fixed-term contract 24 months, 40 hours/week. Possible extension by 12 months. Reduced teaching loads (around 70 hours per year
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-Doctoral Fellow in Mathematics (Statistics) Ref: 50014404 - R-AGR-3432-10-C Fixed-term contract 24 months, 40 hours/week. Possible extension by 12 months Reduced teaching loads (around 70 hours per year
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-Doctoral Fellow in Mathematics (Statistics) Ref: 50014404 - R-AGR-3432-10-C Fixed-term contract 24 months, 40 hours/week. Possible extension by 12 months. Reduced teaching loads (around 70 hours per year
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sciences (e.g., empirical research, experiment design, questionnaire design) as well as statistical methods Familiar with HCI concepts and methods for UX design and evaluation Prior experience in UX design
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The Project The research will be conducted within the STV project (Socio-Technical Verification of Information Security and Trust in Voting Systems), in collaboration with Polish Academy of Sciences. The project aims to develop novel concepts, methodologies, and tools for specification,...
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2 PhD candidate positions in Signal Processing for Next Generation Radar Networks in mmWave and... (# of pos: 2)
to radar systems including Automatic target classification and recognition algorithms (including CNN and DNN) and have a strong background in Optimization theory Linear algebra and statistics Statistical
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-centered devices considering, for example, the EOBD protocol, is an advantage Background in statistical computing and data analysis. Experience with R or Python is an advantage Solid development skills
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, optimality principles) and Christophe Ley (University of Ghent, Bayesian Statistics, Applied Probability). Framework: You will be working as part of DRIVEN Doctoral Training Unit (DTU) funded by the FNR PRIDE
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, prototype development or technical reports. This can potentially be done through a PhD research work. Profile Education Master in Computer Sciences Competencies Background in statistical computing, data
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Internet of Things (IoT): LTE-M and NB-IoT • Satellite communications and be familiar with the principles of • Machine learning/Deep learning • Optimization theory • Linear algebra • Statistical signal