Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
computational biology Expertise with R, Python, or equivalent programming languages is essential. Passion for making biological discoveries relevant to crop improvement. Strong analytical skills, creativity, and
-
Python for analysing spatial data, particularly in the context of remote sensing, ensuring robust data processing and interpretation strong ability to communicate effectively in both oral and written forms
-
insights for process optimisation software development, particularly using Python, JavaScript, and HTML/CSS to build tools, automate workflows, and support data-driven decision making excellent communication
-
production data ingestion, analysis, and visualisation, turning raw manufacturing data into actionable insights for process optimisation software development, particularly using Python, JavaScript, and HTML
-
agricultural datasets proficiency in R and/or Python for analysing spatial data, particularly in the context of remote sensing, ensuring robust data processing and interpretation strong ability to communicate
-
(e.g., LabArchives, BioRender). Desirable Demonstrated experience in fermentation control, optimisation and scale-up. Experience in the use of electronic lab books Experience in coding languages (Python
-
. 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
-
. Skills and Experience: A PhD completed or near completion in Economics or a related field. Strong coding skills (e.g., R, Python, Stata). Experience in designing and conducting experiments. Excellent
-
, and statistical analysis. Strong skills in econometric and statistical software (e.g., Stata, R, Python). Knowledge of retirement income systems, asset drawdown behaviour, and housing wealth
-
systems or environmental sensing technologies. Strong programming skills in Python, MATLAB, or similar for real-time data processing. Demonstrated ability to work in collaborative, multidisciplinary teams