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flow behavior. The project also involves applying machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid
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working with us, you receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the
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systems uses data to improve their own performance, understanding, and to make accurate predictions and has a close connection to applications. Project description This PhD project focuses on advancing
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Good knowledge and interest in chemistry laboratory research Experience in organic chemistry such as synthesis, purification and analysis Interest in and ability to learn new techniques Ability to work
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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analysis, image processing, and statistics Excellent command of English, both written and spoken Ability to work both independently and in a clinical research environment Meritorious are: Experience with
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, or erroneous data, Data cleaning and generation, Development of enhanced loss functions and information-theoretic methods for optimized data analysis, Machine learning-based image segmentation of tomographic
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on local raw materials. The PhD student will work in the intersection of chemistry, earth sciences and materials science; more specifically, with hydrometallurgical methods for processing minerals containing
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transformation. The work encompasses case study analysis of particular countries and strategic sectors. It may also include exploring organizations’ and institutions’ (with a focus on AUDA-NEPAD and the ASTII
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, evolution, and community ecology. The position offers the opportunity to work in a highly diverse tropical system and to address pressing questions about the resilience and evolution of plant-pollinator