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within the PV RESILIENCE projects. You will work closely together with the technology developers in companies and knowledge institutes the project to support their development process while also publishing
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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with
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motivated individual with the following competencies and skills: Proficiency in electrical design, multi-model sensor technology, and experimental analysis. Strong communication skills and a genuine interest
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Postdoc: Hybrid Geospatial Modelling and Scenario Development of Biomass Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
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related subject. Experience in the cultivation of microorganisms and protein purification. Sound knowledge of enzymology, kinetic analysis and protein engineering. A good command of English, because you
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within a cross-functional team, including software developers, electrical and mechanical engineers. Experience and strong understanding of machine learning algorithms, mathematical modelling, and
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European regions are working together towards implementing and developing regional Smart Specialization Strategies that are continuously re-adjusted as part of a reflective monitoring process. You will be
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electrical design, multi-model sensor technology, and experimental analysis. Strong communication skills and a genuine interest in interdisciplinary collaboration. A critical thinker, with the ability
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. Qualifications We are looking for a candidate with A PhD in Computer Science, Operations Research, Applied Mathematics, Mathematics, Engineering, or a related discipline. Strong programming experience, for example
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analysis tools for 3D reconstruction of mycelial networks. Modelling the biophysical and biomechanical properties of the mycelial networks. Your team This study is part of an international project funded by