Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
the application form provided below. It should be duly completed (including recommendation letters) before the deadline specified by the doctoral program of your choice. Selection Students wishing to do their PhD
-
, and cultural practice. Currently, the Doctoral Program has a membership about 45 doctoral students, half of which with an international background. The Start-Up Grant The one-year start-up grant
-
varied responsibilities in a dynamic, nationally and internationally oriented research environment Access to state-of-the-art experimental and computational infrastructure Attractive employment conditions
-
synergies and develop novel ideas are highly valued. PhD students will have access to state-of-the-art computational infrastructure, benefit from internationally competitive employment conditions, and receive
-
the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
-
/programs/#overview Requirements Research FieldAllEducation LevelMaster Degree or equivalent LanguagesENGLISHLevelGood Additional Information Benefits Employment contract with full social security: yes
-
, including the use of CRISPR-engineered cancer cell lines and metastatic models. In addition, the project integrates high-throughput metabolic profiling of genetic perturbations, computational data analysis
-
LMU at PSI Villigen we are looking for a PhD Student in Experimental Physics Your tasks The position is available in the framework of the French-Swiss ANR-SNF Grant on the use of high-pressure and
-
multifractal analysis, urban and energy planning, geography, and artificial intelligence to develop coherent and resilient approaches for urban energy infrastructures under land-use constraints such as No Net
-
embedded in Work Package 2of the ENDOTRAIN network that will explore the use of nanotechnology-enhanced electrochemical sensors for highly sensitive, selective and reversible biomarker sensing. Specifically