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work with deep learning frameworks (e.g., pyTorch, TensorFlow) Proven publication record in relevant fields Familiarity with high-performance computing environments Familiarity with using and adapting
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benefiting from collaboration, computational support, and opportunities to participate in departmental seminars, working groups, and interdisciplinary research activities. This position is well suited
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, or climate data is advantageous but not required. What We Offer A vibrant interdisciplinary environment integrating machine learning and sustainability science. Access to high-performance computing resources
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lithium-mediated nitrogen reduction: revealing a route to sustainable, localised ammonia production. This post is available for 2 years with extension options subject to performance. This Fellowship aims
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Job Description Applications are invited for a National Science Foundation funded (LEAP HI Program #2051685), Postdoctoral Associate position with the System Performance Laboratory (SPL
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for Paralympic and Parasport Studies (CMEPP): Health, Education, High Performance, and Technology,” a Science for Development Center (SDC) supported by the São Paulo Research Foundation (FAPESP). The fellow will
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(R3) Country United Arab Emirates Application Deadline 4 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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using a local high performance computing cluster. You will work closely with experts in ALS, bioinformatics, neuroscience and RNA biology. You will support in the supervision of more junior researchers
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performing organic synthesis, purification and characterization of synthetic products by spectrometry and NMR, western blotting analysis, biochemical and biophysical assay development, and cell culture. 20
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. Applicants with experience in the following areas are encouraged to apply: Experimental condensed matter physics, cosmology and astrophysics, particle astrophysics and dark matter, high energy, atomic, pulsar