Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
preferred: 1. Microsoft Office Applications, particularly MS Word, Excel, Powerpoint 2. Experience in R, Python The successful applicant is expected to possess at least a PhD Degree in Epidemiology, Public
-
applications in healthcare Proficiency in CAD software and 3D printing technologies Strong programming skills (e.g., Python, C++, MATLAB) Excellent written and verbal communication skills Ability to work
-
with retrieval-augmented generation (RAG) frameworks is an advantage. Strong programming skills (e.g., Python, R, or similar). Interested applicants are invited to submit a full CV and cover letter in
-
optimisation frameworks. Proficiency in at least one scientific computing environment (e.g. Python, MATLAB, Modelica); experience with geothermal or reservoir modelling tools is an advantage. Research & Delivery
-
. Doctorate in Computer Science or Electrical Engineering, or expecting to receive it within six months. Experience with one or more general purpose programming languages such as C/C++, Java, or Python
-
the following areas: Matlab and/or Python proficiency for data processing PCB designing and/or microprocessor programming (ARM) Rapid Prototyping (3D printing, Raspberry Pi, FPGA) Optional experience
-
, with the ability to translate complex data into actionable insights. Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R) for data manipulation, analysis, and visualization
-
Python, NCL, and MATLAB. Should have proficiency in scientific computing, high-performance computing (HPC), and scripting (e.g., Bash, CDO/NCO). Should have strong quantitative and analytical skills in
-
statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in-difference, PSM) o Social
-
Python and R programming languages for modeling complex biological data. Preferably experience with medical imaging analysis, particularly MRI data processing and interpretation. Keen interest in