This is the final agenda.

Day 1 – Wednesday 1st September

TimeTalk / SessionSpeaker
10:00-10:15Coffee & Registration
10:15-10:30Welcome Talk & LogisticsDr Samantha Kanza & Dr Nicola Knight
10:30-10:45Making Sense of Science & Evidence – Sense about ScienceDr Hamid Khan
10:45-11:00Career Opportunities at Avco SystemsBen Johnson
11:00-11:15Career Opportunities at OptibriumDr Matt Segall
11:15-11:30Career Opportunities at DotmaticsDr Dan Ormsby
11:30-11:45Coffee Break
11:45-12:35Poster 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 Longino
12:35-13:35Lunch Break
13:35-14:05EPSRC Fellowships & Careers OpportunitiesDr Renee Van de Locht
14:05-14:20Career Opportunities at AstraZenecaDr Graeme Robb
14:20-14:35Career Opportunities at CAS & American Chemical SocietyYvonne Pope & Will King
14:35-15:15Poster 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 Calvache
14:55-15:05Poster: 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 Fenzl
15:15-15:30Coffee Break
15:30-16:30Speed Networking
16:30-16:45Wrap UpDr Samantha Kanza & Dr Nicola Knight

Day 2 – Thursday 2nd September

TimeTalk / SessionSpeaker
10:00-10:10Coffee & Registration
10:10-10:15LogisticsDr Samantha Kanza & Dr Nicola Knight
10:15-10:45Why you should take up PhD Opportunities in the Physical SciencesProfessor Jeremy Frey
10:45-11:00Career Opportunities at Charles River LaboratoriesDr Pascal Savy
11:00-11:15Careers AdviceAndy Gardener
11:15-11:30Career Opportunities at Deep MatterAlan Dunn
11:30-11:45Coffee Break
11:45-12:35Poster 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 Khondaker
12:35-13:35Lunch Break
13:35-14:05Career Opportunities associated with the Royal Society of ChemistrySarah Salter
14:05-14:20Career Opportunities at CCDCRob Willacy
14:20-14:35Career Opportunities at GSKDr Darren Green
14:35-15:15Poster 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 Man
15:15-15:30Coffee Break
15:30-16:30Speed Networking
16:30-16:45Feedback & Poster PrizesDr Samantha Kanza & Dr Nicola Knight

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