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defining formulations with desired properties, (ii) in silico microbiome design based on systems biology network analysis, and (iii) in vitro validation in a (inhouse developed) biofilm bioreactor system
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translate into concrete health outcomes. The BRANCH project wants to change that. By combining conceptual work on green space typologies, advanced geospatial analytics, AI-based image analysis, citizen
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reasoning about tree ensembles. This work will be undertaken in the context of Flanders AI Research Program (https://www.flandersairesearch.be/en ) 3) 1-2 PhD students working with Prof. Jesse Davis
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Reflectance Spectroscopy (NIRS) as an inline method for determining feed structure in pellets, with the aim of achieving faster and more accurate analysis during feed production. In the first year, the focus
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initiatives in function of advanced data analysis in the broad field of road safety research (with focus on, among others, regions, road types, road user categories and their interactions, assessment of road
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affected by warping, addressing both audio analysis and synthesis tasks. The methodological scope spans stochastic signal processing and machine learning, including hybrid physics‑guided and data‑driven
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chemicals in an electrolyzer system. The student will carry out systematic experimental investigations, supported by theoretical analysis from collaborators, to design and develop multimetallic
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, or related fields Strong interest in quantitative methods and drug development Hands-on experience with modeling and simulation software tools (e.g., NONMEM, R) and statistical data analysis Programing skills
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clinical trials. Key Responsibilities Perform end-to-end analysis of single-cell RNA-seq, multiome, and spatial transcriptomics datasets from patient samples. Integrate multi-modal genomic, clinical, and
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communication skills in English.-A collaborative and curious mindset.-Experience with biological or solid-state nanopores, DNA nanotechnology, single-molecule microscopy, or programming/data analysis (e.g., Python