32 machine-learning "UCL " positions

Lecturer (Teaching) in Analytics

communication skills and preferably experience of using Python and machine learning in an applied context, preferably in a healthcare environment. This role is a part time (7.3 hours per week) fixed term

GOSH BRC Applied Child Health Informatics Theme (Non-Clinical) PhD Studentships

costs of their project. We will support two students, one in the area of health data science/epidemiology/statistics and the other specialising in applied machine learning and informatics. The closing

Widening Participation Officer

its potential. Our degree programmes recognise the ever-increasing importance of computer systems in fields such as commerce, industry, government and science. About the role UCL offers a wide range of

Lecturer/Associate Professor in Robotics & AI

the department. Areas that we aim at covering include but are not limited to: AI and Machine Learning, with interest to ground, aerial, and marine robots. About you You should have a PhD in Robotics, AI, or a

Research Fellow in Pharmacoepidemiology

sciences, neuroscience and machine learning. About the role • Undertake the research funded by the Innovation and Technology Commission, HK• Work with colleagues in SoP and its partner institutions

Language Model-Grounded User Simulation for Personalised Conversational Systems

between humans and machines, in an interactive communication manner. Conventional approaches to developing conversational systems rely on key components, such as dialogue state tracking and action

Marie Curie Trainee Fellow

Masters degree in computational/cognitive neuroscience, cognitive science, experimental psychology or related discipline. Computer programming skills in one or more languages (eg Matlab, Python, R) and a

Lecturer in Human Computer Interaction

Interaction to join the UCL Interaction Centre (UCLIC). We particularly welcome applications from candidates with interests in the following areas: Physical Computing, Internet of Things (IoT), Tangible

PhD Studentship: Wearable cerebral blood flow monitoring using speckle contrast optical tomography (SCOT) in the infant brain.

or electronic engineering, machine learning, medical physics or neuroscience. Knowledge of electronics is essential. Strong programming skills (MATLAB is essential) & Phyton (TensorFlow library, desirable

PhD Studentship: High-Throughput Modelling of Crystallisation Processes with Molecular Dynamics

on recent developments in computational polymorph prediction and nucleation modelling that benefit from synergies between statistical mechanics, machine learning and computational chemistry, and will develop