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nanocrystals, hybrid perovskites and 2D materials. Development of new data-driven approaches for studies of optoelectronic properties using EM, including machine learning / machine vision algorithms. The balance
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nutrition, such as: analysis of time series data and dynamic processes, where signals and responses evolve over time. statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and
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programming, e.g. Python or MATLAB, and an interest in concepts from reservoir computing or machine learning, is welcome A genuine interest in interdisciplinary research at the interface of biology, engineering
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of intangible cultural heritage Experience in integrating computer vision and NLP approaches for multimodal cultural heritage applications Strong research and analytical skills, with experience in data collection
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) Positions PhD Positions Application Deadline 27 Jun 2026 - 15:00 (Europe/Bucharest) Country Romania Type of Contract Temporary Job Status Part-time Hours Per Week 5 Offer Starting Date 15 Jul 2026 Is the job
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Engineering (Spanish MECES level 3 or EQF level 7), or any other official Master’s degree with equivalent content. PhD in Computer Engineering (Spanish MECES level 4 or EQF level 8) or any other PhD programme
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rooms in the Nordic countries are located in the Micro- and nanotechnology centre Micronova. Doctoral Researcher in Digital Integrated Circuits We are now looking for a Doctoral Researcher (PhD student
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Documented ability to work in Python Experience with machine-learning methods for record linkage and text analysis Documented experience with machine-learning methods for image-to-text transcription
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companies. Hybrid & Data-Driven Modeling: Apply machine learning and hybrid physics-AI approaches to model industrial systems, accounting for physical constraints, sensor noise, and heterogeneous datasets
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measurement methods. These procedures target the assessment of steel properties for reuse in a new construction. Besides experimental work in the laboratory, machine learning will be employed to develop