Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
the team has a strong expertise in field robotics. Specific application areas of focus are robotics for mines, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial
-
Sand is the world’s most used resource after water and intensive extraction is reshaping major rivers and deltas. This PhD will quantify how sand mining alters globally relevant river channels
-
to real life, while the team has a strong expertise in field robotics. Specific application areas of focus are robotics for mines, aerial inspection of aging infrastructure, multi-robotic search and rescue
-
PhD Studentship - EASTBIO - Functional Genomics of Host Determinants in Viral Entry and Transmission
integrative data mining of CRISPR screens and genetic association datasets. Full training will be provided through project work and workshops. Working in a collaborative environment with multiple research
-
mechanisms and pathways behind – multiple exposures pathogenesis and disease is not yet fully understood. In the EXPOSIM project, a large-scale EU project, we aim to unravel the complexity of the association
-
into their conditions of formation. The mineral phases can indeed be used to trace significant geodynamic processes, such as orogenesis, rifting or subduction. In metallic materials, the development of multiple phases is
-
from theory to real life, while the team has a strong expertise in field robotics. Specific application areas of focus are robotics for mines, aerial inspection of aging infrastructure, multi-robotic
-
to real life, while the team has a strong expertise in field robotics. Specific application areas of focus are robotics for mines, aerial inspection of aging infrastructure, multi-robotic search and rescue
-
, using techniques such as: High-dimensional data mining Tensor decomposition Causal inference Statistical process modeling Machine Learning Applications include public transport, private vehicles, traffic
-
cells from different mouse models with accelerated aging phenotype. The work of the PhD candidate will include data mining and integration of these datasets with resulting identification of candidate