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monitoring will also be integrated into this PhD. Thermal prediction models are currently implemented on a Field Programmable Gate Array (FPGA), while the thermal PI controller (which will be further developed
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To analyse tick abundance data To collect and analyse tick abundance data in relation to forest management in the context of climate change To apply an existing population dynamic model to our study cases
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high-dimensional settings). Furthermore, when developing appropriate statistical methods, one should avoid making unrealistic (too restrictive) assumptions. This calls for flexible modelling and
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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. The PhD student will focus on characterizing immune cell responses in food allergy models and their impact on brain immunity. In close collaboration with experts in food allergy, neuroimmunology, and
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without reliance on vision. The work will combine auditory perception models, predictive processing and flight control, validated through simulation and experimental flight tests on an embedded GPU platform
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, with an emphasis on wideband acoustic sensing, HRTF modelling and spatial perception inspired by bat echolocation. You will design and validate signal processing pipelines for real-time echo-based
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model and patient samples. Job requirements Essential Requirements: Master's degree in Biochemistry, Cell Biology, Molecular or Structural Biology, Biological/Medical Sciences, or a closely related field
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of a doctorate, contains: Are you eager to improve pandemic preparedness through data-driven research? Do you want to work on real-world implementation of AI and epidemiological models in healthcare
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. the light curves and spectra) of these stars analytically and through numerical methods, based on binary stellar evolution models. You will also investigate potential observable signatures of binary evolution