RNA Bioscience for Participatory Alopecia Research resources
Access RNA Bioscience for Participatory Alopecia Research resources.
Access RNA Bioscience for Participatory Alopecia Research resources.
The Forensic Research Institute run six research networks covering a wide range of specialisms, each competing nationally and globally for funding to pioneer cutting-edge scholarship.
The AI and Digital data Network employs machine learning, facial identification, and AI in the detection, recovery and analysis of digital data from audio-video and CCTV footage, 2D and 3D images and online material for the identification of deepfakes, cybercrime, counter-terrorism and security risks.
The Chemical, Biological and Trace Analysis Network specialises in detection, recovery and analysis of chemical ballistics, controlled drugs, medicinal, cosmetic and food products, biological materials, DNA and trace evidence to enhance global public health and policy.
The Search, Scene and Discovery Network specialises in processes involved in the search for and discovery of human and/or animal remains/traces using technology including drones, robots and sensors.
The Human Identification Network specialises in the identification of living and deceased humans through biometrics, behavioural patterns, genomics, bioanthropology, trace elements and craniofacial anthropology.
The Forensic Research Institute partners some of the leading players in the public and private sector from government departments, police forces, local authorities to respected companies delivering forensic services and research institutes worldwide.
Related research groups of the Forensic Research Institute
Find contact information to connect with us at the Forensic Research Institute.
LOOM is accepting PhD applicants who wish to carry out research into the design and operation of large engineering systems, as well as research on operational research, including simulation, optimisation and evolutionary computation. Learn more about postgraduate study at LOOM and recently completed PhD projects.