9 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CIC-biomaGUNE" PhD positions at Vrije Universiteit Brussel
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, require optical microscopes that can capture spatial and spectral information simultaneously, while remaining fast, data-efficient, and suitable for in-situ use. However, conventional hyperspectral
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fully funded PhD position in machine learning, AI, and data science for public health within the Electronics & Informatics Department (ETRO) of Vrije Universiteit Brussel (VUB). The PhD is embedded in
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holography to ultra-wide-angle, ultra-high-resolution holography presents significant challenges. These include enormous data bandwidths, sophisticated optical control, advanced rendering pipelines, and new
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statistics. You will also collect data independently, conduct surveys and organise workshops with companies, policymakers and academics, under the supervision of two academic promoters. In addition, you will
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approach, combining machine-learning–enhanced text-as-data analysis with qualitative discourse analysis. The project aims to produce a set of high-quality scholarly outputs, including peer-reviewed journal
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with another PhD student at UCLouvain. The PhD candidate will carry out academic research in the fields of urban mobility and foresight. In particular, he/she will: collect and analyze qualitative data
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on specific tasks within the ERC project, such as qualitative data collection, analysis, and integration of findings. You will support the Principal Investigator (PI) and actively participate in
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machine learning processing of the spectroscopic data • The optical design and development of novel custom spectroscopic sensors benefitting from freeform optics. • Integration of the in-situ
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(North sea, southeastern Australia). The research will be further facilitated using current measurements available at VUB in the Belgian offshore zone. For example, multiple years of scada data is