Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
psychiatry/psychology populations and in analysing data accrued from Mental Health Assessment Tools is desirable. Working knowledge of Word, Excel, SPSS, R. and/or Python would be an advantage. They will be
-
isotopic data, geochemical software packages and coding e.g. in python, R, Matlab etc. Additional Information Eligibility criteria Mandatory: *PhD in geology, geochemistry or analytical chemistry. *2/3 years
-
- statistical techniques used in spatial data analysis - scientific programming, e.g. Matlab, R, Python or Julia - designing and/or conducting field measurement campaigns in atmospheric
-
Information Systems are encouraged to apply. Tangible experience in the teaching of programming languages, eg: Python, is an advantage. Candidates should set out how their research may contribute to one or more
-
; • Have experience in software development/engineering in at least one general-purpose programming language (e.g., Python, Julia, C/C++, Fortran, Rust). Experience with scientific, numerical, and/or GPU
-
the application of machine learning and artificial intelligence. By using neural networks developed in Python, the project aims to generate robust and generalisable models for scaffold design. Industrial
-
Information Systems are encouraged to apply. Tangible experience in the teaching of programming languages, eg: Python, is an advantage. Candidates should set out how their research may contribute to one or more
-
positive community; • Have experience in software development/engineering in at least one general-purpose programming language (e.g., Python, Julia, C, C++, Go, Fortran, Rust). Experience in Julia is a plus
-
modelling, and real-time graphics programming. Proficiency in programming languages such as C++, C#, Python, or JavaScript. Strong understanding of UX/UI principles for immersive experiences. Experience in
-
detection. Experience with cyber security frameworks (e.g., MITRE ATT&CK), AI/ML-driven threat detection, python and cybersecurity concepts, for example, malware analysis, cyber-attack scenarios. Demonstrable