Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
and visualization of metabolomics data, support the integration of software tools for data (pre-)processing, biomarker discovery, and predictive modelling. Furthermore, serve as the metabolomics subject
-
requirements for doctoral studies, you must: hold a Master’s (second-cycle) degree in engineering physics, electrical engineering, machine learning, data science, computer vision, computer science, applied
-
to assimilate knowledge at the research level. Understanding and experience in machine learning and computer vision. Knowledge, experience, and strong interest and in AI and XR development. Knowledge and
-
. They involve high-stakes decisions with important trade-offs and uncertainties. They are also challenged by the data sampling process which gives rise to distribution shifts when comparing past and future data
-
regulatory processes, focusing on the design of, oversight over and compliance with rules. The PhD student will be part of the cluster and be placed at the Department of Law but will design and conduct
-
the natural and ubiquitous processes of water evaporation and moisture absorption. This will result in the creation of “zero emission”, sustainable, efficient and recyclable water-evaporation-induced
-
the molecular mechanisms underlying genome-interacting processes using a highly multidisciplinary approach that combines advanced single-molecule fluorescence imaging with a range of biophysical, structural, and
-
imaging and single cell mass spectrometry to reveal chemical processes of importance to biological function and dysfunction. The research group has recently received major and prestigious grants