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). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
distributed cloud storage systems and cloud computing services. · Experience in HPC (including heterogeneous architectures). · Strong interpersonal and communication skills and the ability
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? The Department of Ecoscience is looking for a Postdoc to join our team and help advance ecological monitoring using cutting-edge tools and methods. In this position, you'll have the opportunity to apply innovative
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websites https://www.augusthuanglab.org/ and https://www.khoshkhoolab.com/ . Candidate qualifications include: PhD and/or MD in computational biology, bioinformatics, genomics, or other related fields
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with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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this position, you will work at the interface of computation and experiment, developing and applying computational methods to analyze large-scale microscopy and genomics datasets. You will be a key member of a
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real or simulated industrial scenarios. Is Your profile described below? Are you our future colleague? Apply now! Education • PhD in Computer Science, Telecommunications, or a closely related field
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Networks, and ICT Services & Applications. This industrial PhD position is part of the "Autonomous Systems for Land, Air and Space" (ATLAS) IPBG Programme co-funded by the FNR, SnT, and a consortium of