43 machine-learning-"https:"-"https:"-"https:" "Computer Vision Center" Postdoctoral positions in Morocco
Sort by
Refine Your Search
-
COLCOM - Postdoctoral Fellow in Machine Learning Employer MOHAMMED VI POLYTECHNIC UNIVERSITY Location Benguerir, Morocco (MA) Closing date 3 Sep 2026 View more categories View less categories
-
MSN – Postdoc in Computational Catalysis, Machine Learning and Reaction Kinetics Employer MOHAMMED VI POLYTECHNIC UNIVERSITY Location Benguerir, Morocco (MA) Closing date 6 Nov 2026 View more
-
COLCOM - Postdoctoral Researcher in Machine Learning for Energy Efficient IoT Networks Employer MOHAMMED VI POLYTECHNIC UNIVERSITY Location Benguerir, Morocco (MA) Closing date 31 Oct 2026 View more
-
, Computational Chemistry, Applied Mathematics) Strong publication track record in relevant research areas Core Technical Skills (Computer Science Focus) Strong experience in Machine Learning / Deep Learning
-
have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs. The
-
lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation. Analyze large datasets from battery systems to improve model
-
data, data assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate
-
successful candidate will contribute to the following research axes: AI-driven territorial diagnostics and foresight, integrating multi-source satellite data with machine learning and spatial modeling
-
within the research team. Required Qualifications: Ph.D. in Chemistry, Computational Chemistry, Cheminformatics, Computer Science, or a related discipline. Proven expertise in machine learning/deep
-
predictive maintenance in chemical plants. Key Responsibilities: Create and implement hybrid AI models that merge machine learning techniques with mechanistic frameworks (like physics-informed neural