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modelling of cell–cell interactions, cell-state transitions, and tissue dynamics and multi-omics integration Applying ML approaches for biomarker discovery, predictive modelling, and development of diagnostic
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modelling of cell–cell interactions, cell-state transitions, and tissue dynamics and multi-omics integration Applying ML approaches for biomarker discovery, predictive modelling, and development of diagnostic
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and material properties in situ to predict the onset of fungal growth in respect to aW and temperature. Your competences The successful candidate must have strong theoretical knowledge as
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for predicting sand and particle transport struggle with the cross-shore processes (perpendicular to the beach), and they even have difficulties predicting the sign right (offshore transport vs. onshore transport
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, Recombinant protein expression and purification, biochemical and biophysical characterization of nucleic acids Computational model building and structure prediction Single-molecule fluorescence microscopy
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the challenges of the construction sector and society in relation to the green transition. AM2PM - Additive to Predictive Construction using Learning by Printing and Networked Robots This Postdoc will have an
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Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
thermophysical properties vary across the diverse PFAS chemical space and how these properties may be predicted using computational models. These positions offer an excellent opportunity for early‑career
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High-pressure XPS measurements may also be envisioned for most promising catalysts. Similarly, are we collaborating with CatTheory on predicting reaction pathways and microkinetic modelling screening
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, aimed at uncovering the key traits that define successful microbial biofertilizers, and to develop predictive models that can guide the rational design of next-generation BioAg products tailored
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considered an advantage if you have: Experience with protein language models (e.g., ESM, ProtT5) Experience with structure prediction frameworks Experience in geometric deep learning or graph neural networks