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, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
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experience in brain stimulation (including paired or double pulse; transcranial magnetic stimulation). Ideally, applicants will also have experience using a programming language (MATLAB/Python/R) as a tool for
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distributed compute. Expertise in SQL, Python, data modelling, metadata management, data cataloguing and lineage. Strong understanding of governance, security, compliance and data quality frameworks. Experience
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programming skills relevant to scientific data analysis, demonstrated through substantive experience with at least one programming language such as Python, R, MATLAB or a comparable language. A strong
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the group. Develop, optimise and maintain bioinformatic workflows using Python and related tools. Work independently with existing transcriptomic analysis pipelines and contribute to the development of new
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experience writing software in C++ and Python, using libraries and technologies including CUDA, ROS, ROS 2, PyTorch, Docker and CI/CD tooling. You will be able to create and debug large software projects
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and programming languages e.g. Linux, Python, R. Excellent interpersonal and communication skills and ability to work with colleagues at all levels. Desirable Criteria Experience in multi-omics
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discipline. They should have strong computational skills, including experience with UNIX/Linux and programming in Fortran, Python, or other high-level languages. Candidates should also demonstrate the ability
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a PhD in biology, bioinformatics or a related discipline and have extensive experience in computational biology or mathematical modelling. You will have strong programming skills in R and Python
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skills (especially in Python), and proven experience in collaborative software development using version control systems (git) Reliable, regular presence in the laboratory on site in Vienna Willingness