477 machine-learning-phd "Dr" scholarships

PhD position in the field of Quantum Machine Learning (Prof. A. Lucchi, Dr. Stefan Woerner and Dr. David Sutter)

The University of Basel (Prof. Aurelien Lucchi) and IBM Research Zurich (Dr. Stefan Woerner and Dr. David Sutter) are seeking applications for a PhD position in Quantum Machine Learning

PhD student (m/f/d) | Developing and implementating of machine learning applications and data analysis in Translational Psychiatry

position as PhD student (m/f/d) to develop and implemente machine learning applications and data analysis in Translational Psychiatry. Your group The MPIP Fellowship led by Prof. Dr. med. Falkai at the Max

PhD Studentship - How Relationships with Leaders Impact Loneliness at Work: A Comparative Study Between Remote and In-person Settings

, who is an expert in organisational leadership and behaviours, Dr. Thomas, an expert in emotions, eye-tracking and the use of machine learning for research, and Dr. Wright (University of Canterbury, NZ

PhD Studentship: General Purpose Machine Learning Tool-Kit for Bragg Coherent Diffraction Imaging

PhD Supervisor: Dr Marcus Newton Supervisory Team: Dr Marcus Newton, Dr Dan Porter, Prof Steve Collins, Prof Paul Quinn Project description: The University of Southampton is expanding its PhD

Graduate Assistantship (PhD) at University of Louisville: Civil Engineering and Water Resources

of hydrologic, sediment, and nutrient transport at variable spatiotemporal scales. Dr. Mahoney’s lab utilizes process-based numerical models, machine learning, and sensing/tracing technologies to investigate

PHD Candidate (M/F/D) Numerical design of bottom-up fabricated optical Huygens metasurfaces

is an impossible task in metasurfaces composed of millions of elements. The PhD aims to develop methods using machine learning surrogate models to solve this complex design problem. The project aims

PhD Studentship: Understanding the Past, Securing the Future: Advanced Techniques for the Detection of Chemical Hazards in Archive Repositories Through Heritage Science (ADeCHAR)

chemistry, applied analytical chemistry and sensor technologies with the aim to deliver a new advanced detection tool. Alongside this, a machine learning approach will be utilised with the aim of efficiently

PhD position in Artificial Intelligence for Cultural Heritage

for a highly motivated and qualified PhD student/researcher who will work towards developing new (machine learning and deep learning-based) algorithms and procedures that exploit human labelling and

PhD Studentship - Deep Learning based Controllable Animation

observations like 2D images and transferring those pose/style statuses to 3D characters. By leveraging cutting-edge machine learning models, the project aims to produce accurate estimation of human movements and

PhD Studentship: Big Data and Artificial Intelligence for Urban Mobility

sensor technologies, communication networks, and machine learning, has paved the way for innovative solutions to enhance the efficiency and sustainability of our transport systems. The successful candidate