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stages of the selection process. The working languages of the Agency are English and French. A good knowledge of one of these is required. Knowledge of another Member State language would be an asset
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machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods; representation learning; analysing sound sequences and vocal interactions; category discovery; Perma
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should have good interpersonal and communication skills and should be able to work in a multicultural environment, both independently and as part of a team. During the interview, your motivation, overall
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losses and environmental impact As a Postdoc within the EvalueWaste consortium at TU Delft, you will: Scale-up of a solvothermal process to recover metals and polymers from cardiac catheters for reuse
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focus on how atmospheric and oceanic conditions affect turbine performance and power production, significantly less is known about how large offshore wind farms modify atmospheric and oceanic processes
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engineering Engineering » Process engineering Researcher Profile Recognised Researcher (R2) Application Deadline 1 Oct 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable
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the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy to consider candidates in one of the two fields who can demonstrate a strong basis for working in this cross
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work. It makes me proud to be able to say that I’m conducting my research at Radboud University. I’ve felt totally at home here for over twenty years." Read Hans' storyClose this story Does this sound
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related technologies can support explanation in situated conversational settings. We view explanation not as a static output, but as an interactive process that evolves through human-human and human-AI
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: Within this international project, TU Delft will develop a machine learning-based forward operator to enable the assimilation of SAR imagery into the crop growth model. You will: Process SAR imagery over