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Field
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, interventional effects, multiple mediation), and advanced longitudinal modelling (mixed-effects models, growth curve models, latent class trajectories) with machine learning and AI-based approaches. The Lab is
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annual leave: 35 Days Annual Leave plus Bank Holidays & Closure Days Generous pension scheme Cycle to Work & Electric Car Scheme Employee Assistance Programme Development opportunities Enhanced family
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justified. Assessment will be made in accordance with current legislation . You will be notified if the exemption is not granted. If you have any questions about the position, please contact Professor Terese
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internal institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences
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Apply now to join FAU on its race to excellence. For more information on everything FAU has to offer, please visit www.fau.edu/jobs . Note: Current FAU employees must apply as an internal applicant
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metal dichalcogenides are promising platforms for next-generation quantum and electronic devices, where atomic defects play a crucial role in determining functionality. This project develops a machine
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. Data governance and digital sovereignty Map national legal frameworks. Analyze current practices in North-South data partnerships (research agreements, data transfers, intellectual property). Propose
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, robotics and machine learning, focusing on fundamental aspects as well as on applications in multidisciplinary contexts. This position is part of the DRIVE project, funded by the Research Council of Norway
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page to watch video, or click here to open video) About the position The position is part of the research project “Prediction of genetic values and adaptive potential in the wild (GPWILD)” (https
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of Texas at Austin. In our lab, we are interested in studying how people and machines understand emotions. Recent projects include: how generative AI may be able to provide empathy, how people perceive