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At the Technical Faculty of IT and Design, Department of Sustainability and Planning (PLAN), a Postdoc position in Satellite Data Processing and Machine/Deep Learning is open for appointment from
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Measurements and Data Processing as per December 15, 2025, or as soon as possible thereafter. The position is available for a period of 1 year, with the possibility of extension. In electronic engineering
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Job Description Many industrial processes generate wastewater with small oil droplets stabilized by surfactants, the same goes for accidental spills of fuels incl biofuels and various process oils
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energy system. Our work covers coordinated planning and operation across multiple energy systems, renewable energy production, infrastructure, and end-use consumption. The section is in a phase of rapid
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Postdoc position to support international research and capacity-building projects employing elect...
assignments The successful candidate will contribute to the acquisition, processing, inversion, and interpretation of large-scale EM datasets for hydrogeological mapping in Ethiopia. The work will involve both
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Human Centred Computing Section invites applicants for a 2-year Post Doctoral Fellowship in Computer Supported Cooperative Work (CSCW) in the NeuroGen Computing research project focusing on creating
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across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a
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including CO2 and CH4. Responsibilities and qualifications Responsibilities: Engineer multiple enzyme properties using experimental and computational methods Set up high-throughput screening methods and
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including CO2 and CH4 . Responsibilities and qualifications Responsibilities: Engineer multiple enzyme properties using experimental and computational methods Set up high-throughput screening methods and
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across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a