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quantitative field (by the time of appointment). Strong background in statistical or machine learning methodology, optimization, or high-dimensional data analysis. Proficiency in R or Python; experience with
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PYTHON, Pytorch, CUDA, proprietary software Profil du candidat Profile : Students in their 4th or 5th year of studies (M1, M2 or gap year) Computer vision skills Machine learning skills (deep learning
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predict reliable 6d pose distributions,” IEEE Robotics and Automation Letters, 2025. #Cea List Methods / Means Python - PyTorch Applicant Profile Profile : • Currently enrolled in your final year of
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) stagiaire sera encadré(e) par un ingénieur chercheur spécialisé dans le domaine de l’imagerie ultrasonore. # Cea-List Moyens / Méthodes / Logiciels Python, Matlab ou C++ Profil du candidat Profil : De
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qualifications: Honours/Msc degree in microbiology/bioinformatics, with specific emphasis on functional microbial multi-omic data analysis. Knowledge of a programming language e.g. Python/R. Desired
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Engineering Process Engineering Or a closely related discipline A background in thermodynamics, energy systems, process modelling, programming, or simulation tools such as MATLAB, Python, Aspen Plus
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Data Science Python and/or R programming Data preprocessing, feature engineering and statistical analysis Supervised and unsupervised machine-learning techniques Ensemble learning and predictive
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Data Science Python and/or R programming Data preprocessing, feature engineering and statistical analysis Supervised and unsupervised machine-learning techniques Ensemble learning and predictive
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are looking for someone with a PhD or equivalent relevant experience in computer science, machine learning, medical imaging, biomedical engineering or a related discipline. You will have strong Python
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1st author papers on AI and robotics. Expertise in deep learning, multimodal LLMs, and Vision-Language-Action models. Strong programming skills in Python, with significant experience in PyTorch. Hands