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Field
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the time you start this position A strong analytical background and knowledge of quantitative methods as well as an aptitude to work with industry A keen interest in research in global sustainable supply
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methods that operate under realistic service conditions. This postdoctoral position is part of PolyMIND (AI-enabled Polymer monitoring via Multi-sensor Intelligent Non-destructive Data fusion), the funded
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to creativity in AVT in different translation modalities, define whether user attention and preference is linked to creativity, and gather data on how errors affect user attention. You will use a mixed method
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for various research methods (including spatialised listening and phoneme discrimination). The research focuses on adolescents and adults with CMT. You will formulate research questions and devise
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: 12 September 2025 Apply now Are you a data scientist interested in designing and implementing process-informed machine learning and uncertainties quantification methods? Join us as a postdoc and work
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theories and methods from the social sciences in our research. Where to apply Website https://www.academictransfer.com/en/jobs/355096/postdoctoral-researcher-compara… Requirements Specific Requirements
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information science. Good knowledge of mathematical and theoretical physics methods of describing random processes and random fields. Experience with analytical and/or numerical methods for modelling qubit dynamics
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omics sequencing methods to address key biological questions, particularly in cancer research. Our focus is on investigating the molecular mechanisms underlying rare and aggressive cancer cell
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qualitative and quantitative research methods. Excellent communication skills in English and ability to collaborate with diverse stakeholders. A publication record in relevant scientific journals. Excellent
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. Methodologically, you will explore advanced deep learning approaches, including convolutional and transformer-based architectures, as well as methods for modeling temporal dynamics in longitudinal imaging and omics