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Field
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the phenomenology of cognition (e.g. formalizing concepts such as reasoning, agency, meaning, or experience into testable computational models, skill acquisition, and affordances). The successful candidate will bring
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 3 months ago
specific aspects of the simulation. Your profile # Completed PhD in the field of Physics or comparable Natural Sciences # Experience in Plasma Physics # Knowledge in simulations of many-body systems
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An error occurred during a connection to uni-goettingen.de. What can you do about it? The site could be temporarily unavailable or too busy. Try again in a few moments. If you are unable to load any pages, check your computer’s network connection. If your computer or network is protected by a...
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Horizon Europe project OASIS at the intersection of NLP, AI, and environmental science. Work with 16 partners and 40 stakeholders to build AI-powered methods and interfaces to work with environmental and
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 20 hours ago
Job Offer Max Planck Postdoc Positions on Artefacts for the Social Sciences The Max Planck Institute for Software Systems (Kaiserslautern and Saarbruecken), the Max Planck Institute for Security and
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omics platforms (e.g., fluorescence microscopy, mass spectrometry imaging (MSI), Raman systems) and will develop computational and statistical data analysis methods to improve data quality, information
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development and perform moderate teaching duties. Applicants are required to hold a PhD in physics or an equivalent doctoral degree. Applicants should provide a curriculum vitae, a list of publications, a brief
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 8 days ago
qualification PhD in fluid dynamics, physics, applied mathematics, computer science, or a related field. Experience with machine learning, numerical methods for PDEs, TensorFlow or PyTorch, and Python. Experience
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Your Profile - Expected Completed PhD in Materials Science, Polymer Science, Chemical Engineering, Mechanical Engineering (materials focus), or related field Demonstrated laboratory experience in polymer
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, DLS, DSC, TGA, DMA, AFM, rheology, adhesion testing, FTIR, Raman, or comparable methods Evidence of scientific output (e.g., peer-reviewed publications, preprints, patents, software, industrial reports