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.). Strong programming skills in Python, C/C++, and experience with data-centric control and monitoring architectures. Knowledge on standard communication protocols for smart grid interoperability, such as IEC
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of six Strategic Research Programs: Data Science for Tires, Tire as a Sensor, End-of-Life Tire Valorization, Sustainable Materials for Non-Pneumatic Tires, Sustainable Materials for Next Generation of
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and clinical translation. Supported by the Carl Zeiss Foundation , an ERC Starting Grant , and the DFG Emmy Noether Program, our lab provides a highly collaborative and interdisciplinary environment
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(e.g., GIS, system dynamics, statistical programming) #strong knowledge of qualitative methods in empirical social research #experience working in interdisciplinary and international research projects is
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, applied research environment focused on sustainability. Fluency in English (written and spoken) and strong documentation skills. Position 2 – Postdoc in Process Modeling, Integration, and Techno-Economic
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motivated with an interest to work in an interdisciplinary team spanning machine learning, bioinformatics, and medicine Strong English language skills to communicate and collaborate in our diverse work
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oriented, organization, and capacity to work as part of an international team, in an interdisciplinary environment. Language skills · Good level in both written and spoken English Your LIST benefits
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and independently plan scientific research, as well as collaborate with other project members. Excellent proficiency in English, both oral and written. Meriting Qualifications: Experience in
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, international environment. Excellent spoken and written English (our working language). We offerPositions are available from fall 2025 (negotiable) with an internationally competitive salary and benefits
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
, mathematics, and data science. Collaborative projects merge traditional geographic research with advanced computational methods such as graph neural networks (GNNs) and large language models (LLMs) to explore