This is the final agenda. Day 1 – Wednesday 1st September TimeTalk / SessionSpeaker10:00-10:15Coffee & Registration10:15-10:30Welcome Talk & LogisticsDr Samantha Kanza & Dr Nicola Knight10:30-10:45Making Sense of Science & Evidence – Sense about ScienceDr Hamid Khan10:45-11:00Career Opportunities at Avco SystemsBen Johnson11:00-11:15Career Opportunities at OptibriumDr Matt Segall11:15-11:30Career Opportunities at DotmaticsDr Dan Ormsby11:30-11:45Coffee Break11:45-12:35Poster Session 1– 11:45-11:55Poster: Nearer the nearsightedness principle: Large-scale quantum chemical calculationsAndras Vekassy– 11:55-12:05Poster: Generation of isomers for fast development of molecular datasets Anna Catton– 12:05-12:15Poster: Combining Ultrasonic Methods and Machine Learning Techniques to Assess Baked Products QualityErhan Gulsen– 12:15-12:25Poster: Interactive Knowledge-Based Solvent Selection ToolHewan Zewdu– 12:25-12:35Poster: CV in High Throughput ChemistryJamie Longino12:35-13:35Lunch Break13:35-14:05EPSRC Fellowships & Careers OpportunitiesDr Renee Van de Locht14:05-14:20Career Opportunities at AstraZenecaDr Graeme Robb14:20-14:35Career Opportunities at CAS & American Chemical SocietyYvonne Pope & Will King14:35-15:15Poster Session 2– 14:35-14:45Poster: A deep convolutional neural network for real-time full profile analysis of big powder diffraction dataHongyang Dong– 14:45-14:55Poster: Relative Structural Analysis on Molecular Perovskite Kevin Daniel Calvache14:55-15:05Poster: Structure-activity relationship analysis of supramolecular antimicrobials Kaylee Patel– 15:05-15:15Poster: Dewetting in Thin Liquid Films: Using Sparse Optimization to Learn Evolution EquationsAspen Fenzl15:15-15:30Coffee Break15:30-16:30Speed Networking16:30-16:45Wrap UpDr Samantha Kanza & Dr Nicola Knight Day 2 – Thursday 2nd September TimeTalk / SessionSpeaker10:00-10:10Coffee & Registration10:10-10:15LogisticsDr Samantha Kanza & Dr Nicola Knight10:15-10:45Why you should take up PhD Opportunities in the Physical SciencesProfessor Jeremy Frey10:45-11:00Career Opportunities at Charles River LaboratoriesDr Pascal Savy11:00-11:15Careers AdviceAndy Gardener11:15-11:30Career Opportunities at Deep MatterAlan Dunn11:30-11:45Coffee Break11:45-12:35Poster Session 3– 11:45-11:55Poster: Latent Space encoding of Molecular Crystal StructureKing Wong– 11:55-12:05Poster: Continuous Flow Chemical Process Self-Optimisation by Machine Learning Louis Greenhalgh– 12:05-12:15Poster: Creating a merged dataset and its exploration with different Machine Learning algorithmsMaximillan Hoffman– 12:15-12:25Poster: Machine learning of quantum mechanical lattice energies for molecular crystal structure predictionRebecca Clements– 12:25-12:35Poster: Bayesian optimisation in Chemistry Rubaiyat Khondaker12:35-13:35Lunch Break13:35-14:05Career Opportunities associated with the Royal Society of ChemistrySarah Salter14:05-14:20Career Opportunities at CCDCRob Willacy14:20-14:35Career Opportunities at GSKDr Darren Green14:35-15:15Poster Session 4– 14:35-14:45Poster: A deep neural network for generation of functional organic materialsRhyan Barrett– 14:45-14:55Poster: Curating inorganic chemical datasets to train RNN and transformer ML models to predict IUPAC names from InChIThomas Allam– 14:55-15:05Poster: Learning the crystallographic phase problemSarah Scripps– 15:05-15:15Poster: Exploring coherent diffractive imaging using AIGavin Man15:15-15:30Coffee Break15:30-16:30Speed Networking16:30-16:45Feedback & Poster PrizesDr Samantha Kanza & Dr Nicola Knight Return to main symposium page.