Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Chart tumour evolution using cutting-edge long-read and single-cell multiomics Who we are The Integrative Cancer Genomics lab (Jonas Demeulemeester) is embedded within the VIB – KU Leuven Center
-
Chart tumour evolution using cutting-edge long-read and single-cell multiomics Who we are The Integrative Cancer Genomics lab (Jonas Demeulemeester) is embedded within the VIB – KU Leuven Center
-
. Responsibilities Model Development: Build and train advanced deep learning architectures (e.g., CNNs, Transformers, Generative Models) to decode the regulatory logic of genomic enhancers in GBM and the tumor
-
: Developing state-of-the-art neural networks to accelerate the development of formulations in the pharmaceutical sector. Collaborating on the implementation of these techniques within a company. Contributing to
-
Closing week between Christmas and New Year Professional development through regular mentorship, training opportunities, and collaborative projects. The planned starting date is 1 January 2026 You will do
-
this research axis. 2. Manage the setup and coordinate the experiments from the different members of the consortium, which includes providing assistance in the development of task programs, and participate in
-
documentation Development of research protocols and support for the implementation of clinical and field-based studies Scientific and administrative support of ongoing clinical studies, including coordination
-
tooling, and support the development and dissemination of demonstrations to industry.Project day to day: You are part of a multidisciplinary research group working on the topic of Life Cycle Engineering
-
scholarship holder in the field of redox flow batteries. More specifically, you will actively work within the frame of the European research project RECHARGE (https://elcat.be/erc-starting-grant/ ). RECHARGE is
-
. K. Marchal and Prof. T. Demeester. The group’ s research focus is on bioinformatics method development by combining advanced AI with biological principles http://www.ugent.be/ea/idlab/en/members