Sort by
Refine Your Search
-
develops predictive, multi-scale computational frameworks to guide sustainable microbial food production. By coupling data science with mechanistic models, this collaboration between universities, research
-
systems or smart buildings, such as regression, classification, time series analysis, or basic predictive modelling. Experience with data handling, including data cleaning, transformation, exploratory
-
, digestion models, dietary modelling, and conducting consumer surveys will form part of the Doctoral Network’s tasks. The 12 PhD candidates will be based across seven different universities in Europe: four in
-
on stability. Testing the model in standard stirred tank apparatus Refining the model to allow predictability between different types of apparatus. Defining an algorithm for testing enzyme stability
-
: Kinetic stability data collection for predictive bioprocess modelling of CYP enzymes PhD enrolment: Technical University of Denmark DC4: ML-guided evolution of peroxygenases for selective C-H
-
how these factors influence performance, safety, and lifetime predictions. Your research will involve constructing probabilistic and statistical models—such as Bayesian inference, stochastic simulation
-
, predictive modelling, and autonomous maintenance solutions. You thrive on scientific discovery, enjoy tackling complex multi-physics problems, and have the drive to explore innovative concepts
-
, and ambitious researcher committed to accelerating the green transition by advancing adaptive materials, predictive modelling, and autonomous maintenance solutions. You thrive on scientific discovery