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obtainable using the Oxford Nanopore sequencing platform and improve genome recovery from metagenomes by developing new binning algorithms based on machine learning. Furthermore, the postdoc will aid in
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, number theory, mathematical aspects of quantum field theory, mathematical aspects of string theory, general mathematical physics or quantum algorithms and quantum software development. We stress
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obtainable using the Oxford Nanopore sequencing platform and improve genome recovery from metagenomes by developing new binning algorithms based on machine learning. This postdoc position will utilize
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the Oxford Nanopore sequencing platform and improve genome recovery from metagenomes by developing new binning algorithms based on machine learning. The postdoc will be part of the Microbial Metagenomics group
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, theorem provers, type systems, categories, etc.), concurrent programming languages (choreographic programming, session types, etc.), distributed computing (cloud computing, microservices, etc.), Dev(Sec)Ops
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distributions Linguistically motivated methods for analysing and securing LLM behaviour, including, e.g., LLM misbehaviour and memorization in LLMs Analysis of vulnerabilities in low-resource language settings
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. via computational linguistic analysis of output space distributions Linguistically motivated methods for analysing and securing LLM behaviour, including, e.g., LLM misbehaviour and memorization in LLMs
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experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication skills in English. Applicants with experience in
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team. Significant software development experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication
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of its core areas: research cloud services. We seek an expert in the following areas: Distributed and concurrent systems SQL databases Software development for HPC environments Experience with Slurm