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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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platforms HPC and scientific computing experts to support large-scale analytics and AI/ML workflows Bioinformatics and data science teams to integrate clinical data with multi-modal research datasets Faculty
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well as multimodal data (e.g., clinical, behavioral, multi-omics). Guide decisions around computing infrastructure (local HPC, cloud platforms, containerization). Data Management & Quality Control Implement
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high-performance computing (HPC) infrastructure. The Systems Administrator 3 collaborates closely with senior technical staff, faculty, researchers, and external partners, and is expected to take
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of contact and representative of the Housing Package Center (HPC). MAs provide exceptional service and act as a resource for current student residents, ensuring efficient processing, distribution, and delivery
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Studies on Air Pollution and Health group (https://www.hsph.harvard.edu/nsaph/). The position will be under the supervision of Principal Research Scientist, Dr. Danielle Braun, in Biostatistics. Job
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service models and strategies to optimise performance, efficiency, and cost-effectiveness Knowledge and practical experience in AI, ML, and HPC, with the ability to support their adoption in research
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, Fortran) and using high-performance computers (HPC clusters) Ability and willingness to participate in geophysical field measurements lasting several weeks Experience in managing, planning and conducting
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master’s thesis projects. Ability to secure external research funding in competitive calls. Very strong ability to work with high-performance computing (HPC) environments. The extent to which the applicant
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. Proficiency in Python and either PyTorch or JAX Experience with HPC, GPU is preferred Related Skills and Other Requirements Ability to collaborate on multidisciplinary research in a collegial environment