11 parallel-and-distributed-computing-phd PhD positions at Nature Careers in Luxembourg
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The Translational Cancer Immunogenomics (TCI) Research Group, led by Dr. Ángel Álvarez-Prado at the Department of Cancer Research of LIH, is currently offering a Ph.D. student position. Recently established, the research group focuses on understanding how genetic alterations in cancer cells...
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to droughts and heatwaves, which in turn feedback to the distribution of species, modulating the long-term ecosystem resilience to environmental changes. In this framework, the objectives of your research
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training unit: https://www.list.lu/en/research/project/forfus Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? Your PhD work will focus on outdoor forest
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· An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international
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programme to foster our staff’s soft and technical skills ·Multicultural and international work environment with more than 50 nationalities represented in our workforce ·Diverse and inclusive work environment
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susceptible to SM, VWC, and atmospheric delay. As a result, the objective of this PhD project is to develop models able to fuse backscattering and phase information to estimate SM and VWC more accurately. The
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Your profile described below? Are you our future colleague? Apply now! Education You hold a PhD degree with demonstrated theoretical and practical knowledge in Materials science, Materials chemistry and
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therefore benefit from strong cross-fertilizing interactions between candidates. Is Your profile described below? Are you our future colleague? Apply now! Education You hold a PhD degree with demonstrated
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· PhD in Aerospace Engineering, Mechanical Engineering, Applied Physics, or a closely related discipline. · Strong academic background in computational mechanics, fluid dynamics, electromagnetics
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into this material and support tailoring its properties. For this, you will: Contribute to method development for ultra-fast MLIPs (Xie et al., npj Comput. Mater., 2023) Develop realistic MD simulation protocols