Sort by
Refine Your Search
-
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
-
, prognosis and therapy response prediction of cancer patients. Liquid biopsies are now offering a great potential for minimally-invasive exploration of circulating tumor nucleic acids and cells. However, some
-
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
-
stages is especially challenging due to limited data availability, making it difficult to predict environmental impacts accurately. Additionally, complex synthesis routes require integrating green
-
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
-
limited efficacy. Personalized medicine, focusing on novel prognostic and predictive biomarkers to identify patients that will respond to treatment, is crucial to increase the success rate and the patient's