Sort by
Refine Your Search
-
Employer
- Centre for Genomic Regulation
- BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Fundación IMDEA Software
- ICN2
- IMDEA Software Institute
- Institute of Chemical Research of Catalonia ICIQ
- UNIVERSIDAD AUTÓNOMA DE MADRID
- URV ECoMMFiT
- Universidad Carlos III de Madrid
- Universitat Pompeu Fabra
- University of A Coruña
- 2 more »
- « less
-
Field
-
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
-
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
-
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
-
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
-
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
-
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
-
skills. Excellent academic record. International experience. Previous experience with experiments Experience in modelling, programming, and machine learning. Excellent English speaking and writing skills
-
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
-
, 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
-
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