10 machine-learning-phd positions at Centre for Genomic Regulation

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

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 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 Position: Understanding the genetic basis of tumorigenesis

are looking for a PhD student candidate to join the 'Evolutionary Processes Modeling' group. The ideal candidate should be highly motivated and eager to work on evolutionary and biological problems and to learn

Post-Doctoral Researcher PrecisionTox

plus Experience in the development and/or implementation of algorithms and/or computational pipelines Background/experience in building statistical and/or machine learning methods, in particular for data

Post-Doctoral Researcher PrecisionTox

experience in building and interacting with relational databases (e.g., PostgreSQL) and APIs would be a plus Education and training PhD in Bioinformatics or in Biology, Machine Learning, Statistics, Physics

Lab Manager

learning, and experimental molecular biology to tackle pressing challenges in protein design. Whom would we like to hire? Professional experience Must Have A PhD or equivalent Strong technical skills in

Computational Scientist in the group 'Evolutionary Processes Modeling'

sets before (e.g. DNA-seq, RNA-seq) Experience with modeling, statistical analysis and/or machine learning is a plus Education and training You should have a master's or PhD degree in bioinformatics

Bioinformatics Postdoc – Gencode Project (NIH-NHGRI)

Experience in large-scale statistical analysis of data Background/experience in building statistical and/or machine learning methods, in particular for data integration tasks, would be a plus Experience in the

EGA Bioinformatician lead

machine-learning algorithms, Data analytics You have knowledge of databases: SQL, ElasticSearch, MongoDB, Neo4J, etc. Having database management experience is a major plus You have experience in Data