17 machine-learning PhD scholarships in Spain

PhD in Computer Systems and Machine Learning

supervision of Thaleia Dimitra Doudali. The specific topic of the research will be determined based on the common interests of the candidate and the supervisor. Here are some potential topics: [Machine Learning

PhD. Candidate – Machine Learning and Artificial Intelligence for Forensic Non-Human DNA Recognition and Interpretation

machine learning offer a great opportunity to effectively extract evidence that will need to be calibrated in the form of a LR for presentation in court. Some members of the network, including the Ph. D

CITCEA PhD candidate

of the training process of machine learning algorithms for power system applications 2) Enhance the performance and scalability of a peer-to-peer trading optimization algorithm using quantum computing (QC). Develop

PhD Student

of machine learning and bioinformatics, implementing advanced techniques such as encoder-decoder language models, graph neural networks, and contrastive learning to annotate protein sequences with precision

PhD Position: Computational analysis and modeling of evolutionary processes

motivated and eager to work on evolutionary and biological problems and to learn about the use and development of computational, statistical and machine learning approaches. The Group Cancer is a genetic

PhD Student

learning of generative protein language models. The successful candidate will have the unique opportunity to work at the interface of computational and experimental biology, implementing and refining machine

PhD Open Position HUMANIC-DC8 : Low-order modelling and compressed sensing for real-time flow modelling in operating rooms

skills. Excellent academic record. International experience. Previous experience with experiments Experience in modelling, programming, and machine learning. Excellent English speaking and writing skills

PhD Scholarship in Data-Driven Modeling of Watershed Dynamics

for this PhD position should have a solid understanding of data science and a keen interest in environmental applications. Basic knowledge of statistical analysis and some experience with machine learning and

Funded PhD in Securing Systems Software

, and refining methods to transform insecure code into secure code, possibly employing machine learning or AI. Candidates may delve into binary software or source code leveraging compiler toolchains

PhD Position: Understanding the genetic basis of tumorigenesis

about the use and development of computational, statistical and machine learning approaches. The Group Cancer is a genetic disease, subject to population genetics forces like mutation, selection and