Sort by
Refine Your Search
-
digital forensics tools and methodologies (e.g. file, memory, network or log analysis) Strong programming and software development skills, with the ability to design and implement research prototypes
-
advanced computational simulation methods, in particular ray-tracing, is required; Good programming skills are a strong plus. Experience with Python or a similar languages and AI-based tools is a plus
-
regulation Information Technology Skills: Strong analytical and programming skills are required (Python and C/C++). Prior proven experience in data-driven innovation projects is an asset. Most
-
. The candidate is proficient in spoken and written English. Fluency in Dutch is a strong asset. Experience with statistical programming is an asset. Experience with epidemiological research, longitudinal
-
plus; Good programming skills are a strong plus. Experience with Matlab, Python or a similar language and environment is a plus. Depending on the skills of the candidate, training can be arranged in
-
digital twins is considered an asset. You have strong programming skills in Python and/or MATLAB. Knowledge of machine learning libraries (e.g., PyTorch or TensorFlow), SDR hardware (e.g., USRP), and
-
with MATLAB, Python, LabVIEW or similar programming environments is a strong asset. Experience with COMSOL Multiphysics, finite-element modelling, optomechanical simulations and/or mechanical design
-
strong programming skills in C/C++, Python, and/or Matlab. Knowledge of energy-efficient communication systems, network energy modeling, or renewable energy integration is a strong asset. Knowledge of data
-
, clinical data, epidemiological data, or other real-world health datasets; strong programming skills, preferably in Python, and practical experience with relevant data-analysis and machine-learning