55 phd-drug-discovery scholarships

PhD Studentship: Development and Application of Enabling Methods for Drug Discovery

points for drug-discovery. However, methods to interrogate and manipulate PPIs are not well established. Moreover, intrinsically disordered regions – segments of protein with no fixed structure

PhD Studentship: Integrating computational physics-based simulation and machine learning with drug discovery pipelines

, equipment, and travel related to the project. Overview Machine learning aims to transform the drug discovery landscape through the prediction of potential new therapeutics with unprecedented speed and

PhD Studentship: Integrating computational physics-based simulation and machine learning with drug discovery pipelines

PhD Studentship: Integrating computational physics-based simulation and machine learning with drug discovery pipelines Award Summary 100% home fees covered, and a minimum tax-free annual living

PhD position: Ethical, legal and social aspects of organoid technologies for rare diseases (DC13) - MSCA Joint doctoral network ORGESTRA

, drug discovery and development for rare diseases. Our innovative and ambitious joint-PhD program will train highly qualified young scientists in new scientific and technological knowledge. At the end

PHD position: Linking in silico trials to organoids data and innovative trial design (DC11) - MSCA Joint doctoral network ORGESTRA

critical challenges in the field of organoid technologies for disease modelling, drug discovery and development for rare diseases. Our innovative and ambitious joint-PhD program will train highly qualified

PhD student in structure-based drug design with focus on machine learning (DDLS Research School)

of the PhD project is to develop computational approaches to identify small molecule and peptide ligands that target therapeutically relevant receptors, with the vision to accelerate the drug discovery process

PhD student in structure-based drug design with focus on machine learning

the drug discovery process. The project will be focused on addressing several challenges in structure-based drug design using artificial intelligence. Recently developed techniques for the prediction

PhD position in structure-based RNA-ligand design

of the druggable genome can be increased substantially. A major obstacle in RNA-targeting drug discovery is the lack of knowledge on how to obtain drug-like RNA ligands. The main goal of this project is therefore

Industry PhD Position at Antaros Medical (DDLS Research School)

integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnostics, drug response assessment and monitoring of health. The precision

PhD Preventive Dentistry

bacteria can manipulate the immune system, evade immune surveillance and/or find shelter in intracellular compartments to escape antibacterial agents. In the NWO-funded project Chiron , we aim to address