Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
(Department of Physics) and the Bio-Imaging Lab (Department of Biomedical Sciences) are looking for a full-time doctoral scholarship holder in the field of super-resolution diffusion MRI for predicting
-
PhD Scholarship in Design optimizer tool and predictive control system of a Megawatt Charging System
. • You specialize in the following topic: Development of a design optimizer tool and predictive control system of a Megawatt Charging System and local grid; • You work on projects independently
-
stages is especially challenging due to limited data availability, making it difficult to predict environmental impacts accurately. Additionally, complex synthesis routes require integrating green
-
the impact of molecular rearrengements on the performance, shelf lifetime and stability of electronics. Our goal is to define a physical framework capable to predict relevant timescales.The successful
-
of predictive models for energy demand and production. These models will leverage techniques such as time series analysis and machine learning and will be integrated into a digital twin platform. The aim is to
-
related to staff position within a Research Infrastructure? No Offer Description PhD position available: Development of data-driven methodologies for the prediction of part performance. Details: https
-
to biological data sets such as omics data, protein structure prediction, or biomedical imaging. Technical experience in programming (Python preferred), and/or machine learning is a plus—not a requirement. We
-
to biological data sets such as omics data, protein structure prediction, or biomedical imaging. Technical experience in programming (Python preferred), and/or machine learning is a plus—not a requirement. We
-
the preparation and defence of a PhD thesis in the field of Medical Sciences. More specific, you will work on the validation of predictive peptide biomarkers to classify non-small cell lung cancer (NSCLC) patients
-
/immunotherapies are insufficient due to resistance development and limited efficacy. Personalized medicine, focusing on novel prognostic and predictive biomarkers to identify patients that will respond to treatment