Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, 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
-
networks or deep learning approaches is highly relevant to this role.) Strong programming skills in R, Python, or similar, with the ability to write reproducible, well-documented code. Familiarity with high
-
for real-time sensor data collection, transformation, and distribution onboard. You’ll work closely with a small development team using Python, PostgresDB, TimeScaleDB, and Docker, and support the ship’s ICT
-
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
-
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
-
visualisation libraries and scientific compute languages (e.g., MATLAB). Proficiency in secure web application development using React and TypeScript. Full-stack experience including API design, Python
-
visualisation libraries and scientific compute languages (e.g., MATLAB). Proficiency in secure web application development using React and TypeScript. Full-stack experience including API design, Python
-
measurement e.g. physics, electrical engineering. A sound understanding of the fundamental principles underpinning the operation of solar cells. Proficiency in Python programming as applied to equipment control
-
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