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Postdoctoral Associate - AI3 Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in hand by the start of the appointment. Preferred Qualification: A
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 10 days ago
statistical frameworks to generate representative observatories of online behavior. (PIs: Gummadi, Cha, Zagheni, Engel) Rapid advances in Machine Learning and Artificial Intelligence are opening up new
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, you will work on a DFG/NWO Weave Grant in collaboration with a PhD student, Dr. Claudia Fichtel (German Primate Center, Göttingen) and Professor Carsten de Dreu (University of Groningen). Your job
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, data analysis results, and discussions of possible new approaches with team members and the Principal Investigator. Qualifications Required Qualifications: -A PhD in Biostatistics, Statistics
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of existing techniques to new applications. Analyse complex datasets using computational and statistical tools, interpreting results in the context of broader research goals. Contribute intellectually
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researchers and PhD students, and strong national and international collaborations, MSN is a growing force in materials research. Job Description Postdoctoral Researcher in Mineral Processing, Battery Materials
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and mechanical compatibility of bio-materials with binders, and assess their functional and environmental impacts through a multi-scale framework. You will assist in the daily supervision of a PhD
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the long term. Is Your profile described below? Are you our future colleague? Apply now! Education PhD degree in remote sensing, preferably with a doctoral thesis on RTM inversion or deep learning in remote
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Laboratory’s Biosciences Division, allowing for seamless computational and experimental research integration Position Requirements A recent or soon to be completed PhD within the last 0-5 years Computational
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problems. Major Duties/Responsibilities: Perform processing and analysis on multimodal data streams, including RF, optical, and spectral signals Develop statistically defensible algorithms to identify and