18 of 18 PhD Jobs in Sheffield

support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact ClinMed‐Staffing@sheffield.ac.uk. A PhD (submitted, achieved or equivalent research/professional experience) in computer science, machine learning, medical imaging, biomedical engineering, data science or a closely related discipline. Essential (Application ...

valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply. A PhD (or equivalent research experience) in computer science,electronic engineering,speech/audio processing,machine learning,biomedical engineering or a closely related discipline. (Essential) Strong research experience ...

valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply. Criteria A PhD (or equivalent research experience) in computer science,electronic engineering,speech/audio processing,machine learning,biomedical engineering or a closely related discipline. Essential Application/ ...

will work with radiologists and clinicians to enhance segmentation, feature extraction and prediction pipelines while maintaining reproducible, secure research workflows. Applicants should have a PhD and strong Python/PyTorch experience in medical imaging, with track record in cross‐site #J-18808-Ljbffr ...

Looking For A postgraduate degree in a scientific discipline , ideally with a focus on cardiovascular, renal and/or metabolic disease. A PhD is preferred, although equivalent experience will be considered. Strong scientific research capability and genuine expertise or interest within the CVRM disease landscape . Ideally, experience within pharmaceutical ...

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will work with radiologists and clinical scientists to improve segmentation, feature extraction and prediction pipelines, ensuring reproducible validation workflows. The role requires a PhD in a relevant field, strong Python/PyTorch skills and experience with medical‐image data (DICOM/NIfTI). #J-18808-Ljbffr ...

driven process into an intelligent workflow powered by robotics and algorithms, supporting XtalPi’s AI for Science strategy. Position Overview XtalPi is seeking overseas PhD talent in Chemistry and related disciplines to join our Shanghai-based Future Chemistry Division. This role offers a unique opportunity to combine synthetic chemistry expertise ...

domain competence plus depth in one or more of the named complementary areas. Candidate criteria table Requirement: Hold or be close to completing a PhD in electrical and electronic engineering, materials science (with strong systems‐level context), manufacturing engineering or a closely related discipline with demonstrable expertise ...

accessible, inclusive, and grounded in lived experience. The Research Associate will contribute to publications, conference presentations, and wider knowledge exchange activities. Eligibility Criteria A PhD (or near completion) in a relevant discipline such as Music Technology, Human-Computer Interaction, Computer Science, Psychology, Digital Health, or related fields Strong research experience ...

engineers, contributing to the engineering lifecycle from implementation to performance optimisation and documentation within a collaborative team setting. Eligibility Criteria Candidates should have a PhD in Electronic Engineering, Computer Engineering, Embedded Systems or a closely related field , with a solid foundation in electronics and embedded firmware development. Demonstrable experience ...

valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply. Criteria PhD, or equivalent experience, in bioengineering, electronic/electrical engineering, materials science, biomedical engineering, medical device development or a related discipline - Essential - Application Proven ability in research ...

tree species and monitor forests using UAV data. Based in the PRISMA Computer Vision lab, the post offers access to HPC and GPUs. A PhD is required; collaboration with partners and dissemination of results are expected. #J-18808-Ljbffr ...

XtalPi Inc. is seeking overseas PhD talent in Chemistry to join our Shanghai-based Future Chemistry Division. This role blends synthetic chemistry expertise with automation and AI technologies to advance intelligent chemical research and development. You will design synthesis plans, collaborate with Computational Chemistry and AI R&D teams ...

Veeva is building the industry cloud for Life Sciences through software, data, AI, and business consulting working together. Learn more about our products, vision, values, and status as a Public Benefit Corporation (PBC) on our ...

Based in Sheffield, you will work with Dr Luke Dunning, supervise students, and disseminate findings at conferences and in publications. Applicants must have a PhD in a relevant field, wet-lab sequencing experience, and the ability to combine genomic and trait #J-18808-Ljbffr ...

post involves designing, developing and evaluating interactive systems, collecting and analyzing data, and disseminating findings within a multidisciplinary team. Applicants should have a PhD (or near completion) in a relevant field and a strong record in interdisciplinary research, with experience in music technology, digital health or #J-18808-Ljbffr ...

School of Computer Science at the University of Sheffield, the post offers access to high-performance computing and GPU facilities. Applicants should hold a PhD in computer science or a related discipline. Candidates from GIS, remote sensing, or ecology backgrounds are also encouraged to apply, particularly those with practical experience … Please ensure that you reference the application criteria in the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at A PhD in computer science,remote sensing,ecology or a related discipline Essential Application Research experience in developing machine learning and/or deep learning methods. Essential ...