Sort by
Refine Your Search
-
Category
-
Field
-
modelling framework that can serve as a digital twin of the manufacturing process allowing for a faster and more precise optimization trough virtual engineering.You will work within a research team comprising
-
to scale up and demonstrate sustainable processes for industrial (bio)manufacturing of pharmaceuticals by integrating environmentally friendly technologies and processes. However, given the complexity
-
. The central aim is to design intelligent systems that dynamically adapt the environment to support optimal learning conditions, based on real-time neurophysiological feedback. Key principles guiding
-
for a m/f/x PhD Student – Subject: Quality Issues in cell and gene therapies YOUR JOB Development and validation of quality control assays for ATMP characterisation Design, optimization and validation
-
for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning (DRL) closed-loop control. The technology will be developed through detailed computer simulations and preclinical
-
of the spider mite and developing innovative strategies for the stable integration of large DNA fragments. As a PhD student, you will play a central role in developing and optimizing this transformation
-
-guided therapy provides a promising line of treatment for PXE and related EC disorders. First, we will optimize the detection of pathogenic variants that are missed by current screening approaches. We will
-
, or SLs) to investigate their role in the defense of chicory against thrips and other insects. You will develop and optimize methods to extract, purify, characterize and structurally identify
-
-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV, containing one or more references, a copy of your diploma (if already in