47 structure-based-drug-design PhD positions

PhD Studentship: Deep Learning of Reaction Barriers for High-throughput Retrosynthetic Drug Design

very challenging. Therefore, high-throughput screening of drug-like molecules needs to also consider their synthetic viability. The aim of this project is to develop a deep learning and generative design

PhD position in Molecular Biology

therapeutic applications in the treatment of various diseases and is promising evidence for the invention of new therapies. For example, 1,1-dimethylbiguanidine is an active component of the drug used in DM

PhD Position F/M Developing a deep learning framework to design cyclic

perspectives. Frontiers in Molecular Biosciences , 8:697586, 2021. [4] D. J. Craik, et al. The future of peptide-based drugs. Chemical biology & drug design , 81(1):136-147, 2013. [5] D. Sch utz, et al . Peptide

PhD student

construction of experimental systems; Implementation and development of data processing algorithms and verification of theoretical models based on experimental data; Performing measurements with human subjects

Joint Monash-Leipzig PhD programme in Health: Open PhD scholarships in the School of Chemistry at Monash University

with leading chemists in Australia and Germany in drug design and discovery. Program Structure Within the program the student performs a joint research project with a research laboratory in the partner

PhD Position on Developing a deep learning framework to design cyclic peptides

. The future of peptide-based drugs. Chemical biology & drug design, 81(1):136–147, 2013. [5] D. Schutz, et al. Peptide and peptide-based inhibitors of sars-cov-2 entry. Advanced drug delivery reviews, 167:47–65

PhD Studentship: Deep Learning of Reaction Barriers for High-Throughput Retrosynthetic Drug Design

reactions of large drug molecules and need to be considered. Graph-based reaction discovery and generative machine learning provide a path to new synthetic data that can form the basis for a large-scale

PhD position Photopharmacology (1.0 FTE)

, pumps and transporters. Living cells maintain chemical gradients and electrical potential differences across their membranes using proteins that represent the majority of all current drug targets

Industrial PhD Studentship in NMR- and AI-Driven Drug Discovery

: The successful candidate will be an integral part of a dynamic, multidisciplinary team at the intersection of Cheminformatics, Artificial Intelligence, and NMR for innovative drug design. This role involves

9 PhD positions to study lipid metabolism in prostate cancer (PROSTAMET)

selectively targeting their oligomeric state. DC9 (Università degli Studi di Perugia) will focus on the design and synthesis of fluorescent probes structurally related to oxysterols. The probes will be