Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
proton transfer. For the Diffusion Processes Group we are looking for a PhD Student Your tasks You will prepare and characterize clay samples and oriented clay films using different methods (e.g. XRD
-
asset, especially if combined with strong hands-on laboratory skills Programming experience, particularly in Python, is welcomed Strong verbal and written communication skills in English are required Work
-
and/or hydraulic laboratories Experience with experimental research and data analysis Analytical and programming skills for scientific computing and data analysis (e.g. Python, MATLAB, R, or similar
-
meet the requirements for admission to the faculty's doctoral programme in Engineering Cybernetics . Strong programming skills, in particular Python, and practical experience with modern machine learning
-
, Python, or a similar programming language. English language skills, both written and spoken, corresponding to the scale C1 in the Common European Framework of Reference for Languages (CEFR). See which
-
Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
alternative mechanisms and distributed compliance. This PhD thesis aims to propose, model, and compare different mechatronic propositions through both simulation-based evaluation and experimental calibration
-
the commencement of R&D on cryogenic PHPs at LCSE. Parametric investigations of PHPs with different cryogenics fluids (helium, neon, nitrogen and argon), varying lengths and capillary tube diameters have been
-
essential for this position. A strong interest in probabilistic modelling, latent-variable methods or Bayesian methodology is essential. Demonstrated strong proficiency in programming (e.g., Python, PyTorch
-
to experimental results. Excellent programming skills (e.g. C, Python). Excellent communication skills in oral and written English and Dutch. Strong initiative and excellent time management skills. Open to
-
, interpretability) to ensure equitable performance across diverse populations and compliance with regulatory expectations. Advancing methods for personalized risk assessments, with a focus on sex/gender differences