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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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energy materials—and is equipped with state-of-the-art research facilities. Embedded in a dynamic network of industrial and academic collaborations, SIMaP provides an ideal environment for ambitious
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Website http://ibsal.es/es/convocatorias/envia-tu-curriculum Requirements Research FieldBiological sciences » OtherEducation LevelUndergraduate Skills/Qualifications - Management of biological samples
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Job Reference: 1484237 At Curtin we are committed to embedding the voices and perspectives of Aboriginal and/or Torres Strait Islander peoples at the forefront of our decision-making to create
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wide variety of Secondary PGCEs. Research underpins all that we do. We are world leading in the power of our research (Rank 9th for Research Power, REF 2021), and this is embedded into our academic
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
. Champion opportunity for all as core institutional values embedded across education, research, clinical care, and leadership. Act as a visible leader in philanthropy, strengthening donor relationships, and
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and community partners, embedded in a culture of innovation that empowers all students to learn and succeed. We are “higher education at the speed of life!” Our Values: • Empathy: We stand with our
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Grant Agreement Number 101226601 Is the Job related to staff position within a Research Infrastructure? No Offer Description This project is embedded within the Horizon Europe EDICT Doctoral Network
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workflows, FAISS/embedding retrieval, LLM-based parsing, RAG-style pipeline, and GPU/HPC training. Familiarity with 3D data processing or willingness to learn quickly. Publications, thesis work
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embedding longevity, material efficiency, and realistic performance limits from the start. This project develops a pioneering methodology for data-driven optimization of next-generation material systems. You