Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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