Sort by
Refine Your Search
-
Country
-
Employer
- SciLifeLab
- Monash University
- Technical University of Denmark
- Karolinska Institutet
- Uppsala University
- ;
- ETH Zurich
- University of Antwerp
- ; University of Reading
- University of Bergen
- University of Copenhagen
- University of Nottingham
- Uppsala universitet
- ; Newcastle University
- ; Swansea University
- ; University of East Anglia
- ; University of Leeds
- AcademicTransfer
- CNRS
- KU Leuven (Coordinator)
- RMIT University
- Swansea University
- University of Groningen
- ; UCL
- ; University of Sussex
- ; University of Warwick
- AI|ffinity s.r.o. and University of Chemistry and Technology (UCT), Prague.
- Amsterdam UMC
- Conway Institute of Biomolecular & Biomedical Research
- Curtin University
- Eindhoven University of Technology
- Eindhoven University of Technology (TU/e)
- Erasmus MC (University Medical Center Rotterdam)
- Friedrich Schiller University Jena •
- Ilya Pharma
- Inria
- Inria Nancy - Grand Est
- Itä-Suomen yliopisto
- Johannes Gutenberg University Mainz •
- KNAW
- KU Leuven
- Karolinska Institutet, doctoral positions
- Latvijas Organiskas Sintezes Instituts
- Leiden University
- Ludwig-Maximilians-Universität München •
- Newcastle University
- Radboud University
- Rijksinstituut voor Volksgezondheid en Milieu (RIVM)
- Sanquin Blood Supply Foundation (Sanquin)
- Synklino
- Trinity College Dublin
- UNIVERSITY OF EAST LONDON
- University Paris Cité
- University of Cologne •
- University of East London
- University of Melbourne
- University of Oslo
- Università degli Studi di Cagliari
- Vrije Universiteit Amsterdam (VU)
- Wageningen University and Research Center
- 50 more »
- « less
-
Field
-
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
-
, 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
-
– [email protected] Project summary Drug discovery pipelines are driven by iterative cycles in which molecules are designed, synthesised, purified and tested. A remarkably limited toolkit of reactions
-
an integrated NMR-AI platform with applications in drug discovery and protein engineering. Job Type: Hybrid, full-time (FTE 1.0) with a flexible working schedule. Above-average PhD salary that will reflect
-
at Department of Pharmacy Faculty of Health and Medical Sciences University of Copenhagen We are offering a three-year interdisciplinary PhD fellowship in cutaneous drug delivery, starting
-
PhD Studentship: Cyclic peptide discovery for intracellular protein targets Award Summary 100% home fees covered, and a minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate), plus
-
working at the interface of chemistry, biology and medicine, and have interest in therapeutics discovery. Opportunities to visit AstraZeneca for placements during the PhD will be provided to gain industrial
-
, 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
-
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
-
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