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AI & Machine Learning (computational engineering) PhD Projects, Programs & Scholarships

We have 28 AI & Machine Learning (computational engineering) PhD Projects, Programs & Scholarships

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  Computational materials engineering of interfaces in alloys
  Dr C Brandl
Applications accepted all year round

Funding Type

PhD Type

Research field. We are working in Computational Materials Science which is an interdisciplinary area. It’s a challenging mix of physics, materials science, engineering, mathematics, and computational science.
  PhD position in Computational Sciences
  Prof C Alexandrou
Applications accepted all year round

Funding Type

PhD Type

PhD, with possibility of financial aiding at The Cyprus Institute (CyI). Supervisors. Prof. C. Alexandrou (CyI) [email protected]
  Computer aided design methods for mammalian genome engineering
  Research Group: Institute of Quantitative Biology, Biochemistry and Biotechnology
  Dr G Stracquadanio, Dr F Menolascina
Application Deadline: 5 January 2020

Funding Type

PhD Type

Computer Aided Design (CAD) software assists engineers in designing systems in-silico, thus reducing the time-to-market of a product and increasing the overall productivity.
  Uncovering the (epi)Genomic regulation of cancer forming processes using integrative computational genomics and deep learning approaches
  Research Group: Dr Shamith Samarajiwa
  Dr S Samarajiwa
Application Deadline: 15 November 2019

Funding Type

PhD Type

Mutations in oncogenes and tumour suppressor genes, copy number changes and other genetic aberrations, together with anomalous epigenomic modifications all conspire to alter gene expression programmes, perturb normal cellular processes and promote tumour formation.
  Doctor of Engineering (Eng D): Process optimisation strategies for multiple COSI techniques
  Prof D Reid, Dr C Clemente, Prof S Marshall
Application Deadline: 30 January 2020

Funding Type

PhD Type

MBDA is expanding its research into Computational Optical Sensing and Imaging (COSI). One area of interest is Structured Imaging using, for example, Ladar (Laser Detecting and Ranging) to map a scene in real-time.
  Machine Learning for Computational Medical Imaging
  Dr M Golbabaee, Prof P Hall
Application Deadline: 8 December 2019

Funding Type

PhD Type

The University of Bath is inviting applications for a fully funded PhD studentship based in the Department of Computer Science and under the supervision of Dr Mohammad Golbabaee (lead supervisor) https://mgolbabaee.wordpress.com/ and Prof Peter Hall (co-supervisor) https://researchportal.bath.ac.uk/en/persons/peter-hall.
  MRC DiMeN Doctoral Training Partnership: Deep learning approaches to discover new roles for non-canonical protein modifications in cancer
  Prof C Eyers, Prof A Jones
Application Deadline: 6 January 2020

Funding Type

PhD Type

Abnormal protein phosphorylation is strongly associated with cancer aetiology. Considerable efforts have been undertaken to profile phosphorylation signalling networks acting through serine, threonine and tyrosine residues.
  Rapid digitisation of early-stage prototypes and physical to digital synchronisation in product design
  Dr C Snider, Prof B Hicks
Applications accepted all year round

Funding Type

PhD Type

Summary. This project will investigate processes and technologies to capture the form and behaviour of physical prototypes and generate synchronised digital representations.
  PhD projects for Quantitative Scientists at the MRC Human Genetics Unit

Funding Type

PhD Type

 "Are you a graduate level physicist, mathematician, statistician, engineer, computer scientist, bioinformatician or similar, seeking PhD training to made a difference in medicine and biology?" If so, we want you!.
  Slope stability and climate change in high-mountain regions: Understanding and predicting geo-hazards.
  Dr A Abellan, Dr B Murphy, Dr J West, Dr D Quincey
Application Deadline: 6 January 2020

Funding Type

PhD Type

HIGHLIGHTS. Timely project. a game changing approach to improve understanding, model and forecast landslides in mountainous areas is urgently needed.
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