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Engineering at Aalto University, has an internationally leading reputation in basic and applied research for the development of advanced materials from natural resources. It is one of Europe’s leading research
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for the development of advanced materials from natural resources. It is one of Europe’s leading research and higher education institutions in the field of sustainable chemistry and engineering based on the utilization
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highly interdisciplinary project Interest in the topics of one of the two projects Bonus: Experience working with social media data, mental health, social networks, natural language processing, experiment
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networks, natural language processing, experiment design, or qualitative interviews Bonus: Knowledge of or enthusiasm for political science, psychology, or other fields related to the projects Postdoctoral
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English Ability to work independently and collaboratively in a research team Preferred Qualifications III-V laser epitaxy design and simulation experience Experience with III-V semiconductor processing and
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). Language & other skills Excellent written and spoken English. Finnish or Swedish not required but considered an advantage. Strong interpersonal and communication skills, proactive mindset, and ability
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(generative models, real-time dashboards). Data analysis and geospatial tools (QGIS, ArcGIS, remote sensing). Visualization and communication tools (Adobe Creative Suite, Blender). Language & other skills
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include some combination of the following, with flexibility depending on interests and experience: Design and simulation of III-V lasers and PIC architectures III-V (mainly GaAs) fabrication process
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address complex environmental challenges. About the Project The Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscapes (ADAPT) project develops scalable, data-driven design methodologies
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Project The Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscapes (ADAPT) project develops scalable, data-driven design methodologies that transform dynamic environmental processes