Bioinformatics (scientific computing) PhD Projects, Programmes & Scholarships

Fully funded PhD positions in Astronomy, Biology, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics

Institute of Science and Technology Austria (ISTA) Graduate School

Fully funded PhD positions in Astronomy, Biology, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics. Read more

Funded PhD Programme (Students Worldwide) International PhD Programme

More Details

Join our graduate school at the interface of biology and computation: IMPRS-BAC in Berlin

Max Planck Society IMPRS for Computational Biology and Scientific Computing

We are looking for outstanding graduates from all over the world – whether you have a degree in biology, biochemistry, bioinformatics, computer science or mathematics, as long as you have a passion for working at the interface between biology and computation, this may be the place for you. Read more

Funded PhD Programme (Students Worldwide) Max Planck Research Programme

More Details

Fully Funded PhD Program Opportunity

Okinawa Institute of Science and Technology Graduate University

The Okinawa Institute of Science and Technology Graduate University (OIST), accredited in 2011 as a graduate university, is located in the beautiful subtropical island of Okinawa, Japan. Read more

Funded PhD Programme (Students Worldwide) International PhD Programme

More Details

Smart sensors and spectral techniques in human movement science

Anglia Ruskin University ARU School of Computing and Information Science

Research Group: Computing, Informatics and Applications Research Group

Research Group. Computing, Informatics and Applications Research Group in collaboration with the Exeter Biomechanics Research Team (ExBiRT), University of Exeter. Read more

Supervisors: Dr D Vicinanza, Dr J Zhang

Year round applications PhD Research Project Self-Funded PhD Students Only

More Details

Last chance to apply

Molecular networks rethought

Max Planck Institute for Chemical Ecology International Max Planck Research School

Background. Mass spectrometry (MS) is the analytical platforms of choice for high-throughput screening of small molecules. Molecular networks have found widespread application in untargeted metabolomics, natural products research and related areas. Read more

Supervisors: Prof S Böcker, Prof G. Pohnert

18 April 2024 PhD Research Project Competition Funded PhD Project (Students Worldwide)

More Details

Noise and Evolution in Ageing Cellular Power Stations

Imperial College London Department of Mathematics

PhD Project. Imperial College Mathematics. Student Background. Theoretical Physics, Mathematics/Statistics, Electrical Engineering, Computing (Biological knowledge not required). Read more

Supervisor: Prof N Jones

Year round applications PhD Research Project Competition Funded PhD Project (European/UK Students Only)

More Details

Masters & PhD in Connected Electronic and Photonic Systems at UCL and Cambridge

University College London Centre for Doctoral Training in Connected Electronic and Photonics Systems

4-year EPSRC funded studentships (fees and stipend) are available for eligible applicants. This 4-year programme is delivered by the EPSRC Centre for Doctoral Training in Connected Electronic and Photonic Systems (CEPS CDT), a joint centre between UCL and University of Cambridge. Read more

Funded PhD Programme (European/UK Students Only) EPSRC Centre for Doctoral Training

More Details

Masters & PhD in Connected Electronic and Photonic Systems at UCL and Cambridge

University of Cambridge

4-year EPSRC funded studentships (fees and stipend) are available for eligible applicants. This 4-year programme is delivered by the EPSRC Centre for Doctoral Training in Connected Electronic and Photonic Systems (CEPS CDT), a joint centre between UCL and University of Cambridge. Read more

Funded PhD Programme (European/UK Students Only) EPSRC Centre for Doctoral Training

More Details

Exploration of deep learning based generative adversarial networks (GANs) to mitigate bias in the evaluation of medical images among diverse population and disease sub-groups

Kingston University Faculty of Engineering, Computing and the Environment

Medical image analysis using Deep Learning models involves training on progressively larger datasets. Homogeneity of data within the training set, particularly in its representation of diverse population sub-groups and various disease stages, substantially influences model effectiveness. Read more

Supervisors: Prof S Barman, Dr F Rahman

Year round applications PhD Research Project Self-Funded PhD Students Only

More Details

We have 9 Bioinformatics (scientific computing) PhD Projects, Programmes & Scholarships

Bioinformatics (scientific computing) PhD Projects, Programmes & Scholarships

We have 9 Bioinformatics (scientific computing) PhD Projects, Programmes & Scholarships

Fully funded PhD positions in Astronomy, Biology, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics

Join our graduate school at the interface of biology and computation: IMPRS-BAC in Berlin

Fully Funded PhD Program Opportunity

Smart sensors and spectral techniques in human movement science

Molecular networks rethought

Noise and Evolution in Ageing Cellular Power Stations

Masters & PhD in Connected Electronic and Photonic Systems at UCL and Cambridge

Masters & PhD in Connected Electronic and Photonic Systems at UCL and Cambridge

Exploration of deep learning based generative adversarial networks (GANs) to mitigate bias in the evaluation of medical images among diverse population and disease sub-groups

We have 9 Bioinformatics (scientific computing) PhD Projects, Programmes & Scholarships

Bioinformatics (scientific computing) PhD Projects, Programmes & Scholarships

We have 9 Bioinformatics (scientific computing) PhD Projects, Programmes & Scholarships

Select your nearest city

Do you want hassle-free information and advice?