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-level modelling of environmental exposures and health risks; Interpretable and uncertainty-aware machine learning for heterogeneous health data. This position offers the opportunity to work in a
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an advantage: plasma surface functionalization; electrode/electrolyte interfaces; battery degradation modelling; microstructure-resolved modelling; tomography or image-based electrode modelling; machine learning
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of programming and implementing both back- and front-end solutions, using (open source) APIs. Evidence of being able to acquire additional funding (projects/scholarships) is a strong plus. You are willing to work
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addresses themes such as sustainability transitions, environmental governance in social ecological systems, human-nature relations, citizen science, biodiversity and biosphere integrity, social learning
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-scale nature, complexity, and heterogeneity of 6G networks, we use tools such as artificial intelligence/machine learning, quantum computing, graph theory, graph-signal processing, and convex/non-convex
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to interdisciplinary work, availability and interest in learning to use software tools useful for research; Ability to work both independently and within a multidisciplinary team; Fluency in English and French
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Industrial Engineering and Operations Research. Good technical knowledge of probabilistic models and machine learning Basic knowledge of quality management in the manufacturing industry (e.g., SPC, FMEA, HACCP
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Microeconometrics Strong interest in methodological issues in microeconometrics, machine learning, high-dimensional models Proven ability to autonomously conduct research at a post-doctoral level Proven ability
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addresses themes such as sustainability transitions, environmental governance, citizen science, ecological justice, social learning, climate adaptation and relationships between science, policy and society
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; The space to form your job content and to continuously learn through our VUB learning platforms and training courses; And finally: great colleagues with a healthy drive. 5 - Interested? Is this the job you’ve