Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic
-
ESM Item Repository (https://esmitemrepositoryinfo.com ). Building on ongoing methodological and meta-science work in the CCP and CMPO, this project will develop and psychometrically validate gold
-
early modern academic tradition. The project members will develop a language to transcend the traditional dichotomy between ‘freedom’ and ‘unfreedom’ and will single out criteria that can be used
-
the interaction between new technological developments and the law. You can creatively analyse legal problems in this domain and propose clear and valuable solutions. You share your knowledge with others through
-
for ADPKD. Gene therapy based on adeno-associated viruses (AAVs) holds the promise of offering a long-term curative approach for ADPKD. In this project, the PhD researcher will develop an AAV-mediated gene
-
should be exclusively submitted through the consortium webpage https://raptor-consortium.com/recruitment/ RAPTORplus aims at adapting proton therapy treatment with multi-modality image information acquired
-
Reference Number BAP-2026-5 Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project centers on the development of a computational platform model for a
-
maximum term of the appointment (4 years). You develop, in consultation with the promoters, your own research project on a theme of Roman law or legal history that is within the expertise of one
-
Research Council (ERC) Starting Grant https://www.kuleuven.be/english/research/EU/p/he/p1/erc/IonFracMem ) aims to address this challenge by developing novel membranes that combine fast throughput with
-
gives rise to well‑known effects such as the Doppler shift, it is rarely modelled explicitly. With this research project, we aim to develop novel models and processing approaches for audio signals