Sort by
Refine Your Search
-
aims at developing tools using large language models (LLMs) for the correction of misinformation about climate change in social media. The successful candidate will develop innovative tools leveraging
-
model of human working memory. During the project, we will follow an intertwined model-experimental approach. First, we will use electroencephalography (EEG) experiments to investigate the neural basis
-
will use computational models to explore the minimal functional requirements for self-replication to emerge from polymerising molecules. Instead of simulating specific chemistries in full detail, we will
-
will use a participatory and longitudinal approach to (digital) ethnography in three regions: two in the Netherlands (the coastal region of Groningen and the deltas of Overijssel) and one in Belgium
-
of the barriers preventing vulnerable communities from taking action. This PhD project proposes “grassroots retrofitting” - a bottom-up, data-driven approach piloted in North-East Groningen, an area
-
” - a bottom-up, data-driven approach piloted in North-East Groningen, an area where energy poverty remains a challenge and retrofitting participation remains low. Using AI-powered infrared thermography
-
fluorescence microscopy to follow in real-time how nanomedicines engage with living cell membranes (and simpler model systems) and quantify these interactions. Similar studies can be performed for understanding
-
appendages using the (halo)archaea as a model. Studying the infection mechanisms of archaeal viruses can provide insight into the evolutionary history of viruses and help to understand adaptation to extreme
-
these processes take place at the cell surface, we are also actively studying the archaeal cell surface and surface appendages using the (halo)archaea as a model. Studying the infection mechanisms of archaeal
-
Organisation Job description For the National Growth Fund (NGF) project “Groeien met Groen Staal” (GGS), a PhD position for the period of 4 years is available in the context of modelling green steel