Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
Communication skills, Machine learning, artificial intelligence, data science, Experience in geospatial science projects, Experience of Python 3.1x, Python machine learning libraries and Python geospatial
-
or similar technical discipline. Other qualifications in disciplines related to the PhD topic will also be considered. Knowledge & Experience Essential Good mastery of Python programming Strong
-
other programming skills (such as Python) would be advantageous. Experience in making research funding applications (or the capability to do so in the future) to national or international grant agencies
-
communication and organisation, with demonstrable ability to meet deadlines. Confident in statistical analysis with R/Python/Matlab or similar Specific Requirements Strong research profile in field aquatic
-
technologies. Competence in data management, statistical analysis, and visualization tools (e.g., MATLAB, R, Python). Knowledge of marine operations and safety protocols, including working on research vessels
-
, Data Visualisation, Network Analysis, Digital/Media Arts, and other areas which require knowledge of and the ability to teach programming languages such as JavaScript, R, or Python. Duties will include
-
SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
fading, and maintain stable performance over 40–100 km fibre lengths. Perform co-simulation of optical and electronic/system-level subsystems (e.g., using Python, MATLAB, VPI). Build and characterise
-
for integrating Python scripts, research on the decision and prediction models, and developing a user-friendly web interface. Salary Scale: €46,000 - €50,000 per annum Appointment on the above range will be
-
of both qualitative and quantitative research methodologies Desirable Experience with software packages such as Python, R, Stata, NVivo Skills &Competencies Essential Applicants whose first language is not
-
, resilient networking and fault-tolerant systems (detection, isolation, recovery). Proficiency in Python for rapid prototyping, data analysis, and simulation (e.g., NetworkX, numerical optimization, agent