Sort by
Refine Your Search
-
(scoping, execution, reporting) and working effectively across multiple stakeholders. Understanding of scripting languages such as Python, PowerShell and Bash. Knowledge of network security architecture
-
to stay current with evolving threats and security technologies. Developing new ways to test system weaknesses. Programming/scripting skills (Python, Bash etc.). Automation and exploit understanding
-
at least one relevant language or environment, such as Python, MATLAB, Julia or similar. Strong written and verbal communication skills, including the ability to publish research outcomes and engage
-
that drive real-world impact. Desirable Demonstrated experience in energy system modelling Proficiency in the General Algebraic Modelling System (GAMS), Julia JuMP, Python PuLP, or similar LP framework
-
experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python
-
, testing, documentation, and code quality aspects. Desirable Experience developing firmware and/or software in a control systems context. Experience in python programming. Familiarity with working on GNU
-
languages such as Python or Bash, for automation, orchestration and source code management. Experience in providing services to research domains, including engaging with researchers to determine requirements
-
. Applied experience in the analysis of genomic data (bioinformatics), including reference based and reference-free pipelines, and relevant coding languages (e.g. bash, R, Python), and a sound understanding
-
record of publication in quality, peer reviewed journals. A history of professional and respectful behaviours and attitudes in a collaborative environment. Desirable criteria Experience with python and
-
packages relevant to biostatistics and bioinformatics (e.g. R, Python, Fortran, Matlab, SAS, Stata or equivalent) and experience in the use of high-performance computer resources and parallel computation