247 affective-computing-"https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions in Germany
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Eichen 87 12205 Berlin GERMANY www.bam.de Prof. Dr. Birgit Skrotzki will be glad to answer any specific questions you may have. Please get in touch via the telephone number +49 30 8104-1520 and/or by email
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Department of Foreign and International Social Law is seeking applications for one Postdoctoral Position (m/f/d) for the Research Group PERGAP “The (Mis)Perception of Economic Inequality: The Impact of Welfare
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
for sustainability, new concepts for security and solutions for current latencies in communication networks. Find out more about the project under https://6g-life.de/ About us: At the Chair of Information-Oriented
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22.03.2021, Academic staff The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine learning, and
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the topic: 1. M Balaish, JLM Rupp, Widening the Range of Trackable Environmental and Health Pollutants for Li‐Garnet‐Based Sensors, Advanced Materials, 2021; https://doi.org/10.1002/adma.202100314 2. M
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. Applicants should have a background in population genetics/genomics, molecular ecology, biodiversity informatics, or a related field. Experience with large-scale data analysis is essential. Additional
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. Requirements: Completed university degree in computer science or applied mathematics, remote sensing, geophysics, physics, or related areas Expertise in computer vision and/or machine learning (deep learning
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Scientific and operational leadership of the Protein Design Accelerator in the Technology Hub Development and maintenance of computational pipelines and scripts for protein design workflows, including design
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analyzing developmental-oncogenic signaling pathways using a combination of experimental and computational approaches. Within this project, we are creating perturbation-based genetic maps at the level of
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analyse data from krill fishing operations and explore the potential impact of the fishery on krill populations. This will be achieved through the use of empirical approaches and simulation models exploring