48 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation"-"Simons-Foundation" positions at ICN2 in Spain
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ICN2 PhD Programme Programme description: The ICN2 offers a competitive PhD Programme to talented students who wish to develop a research career at one of the top European institutions in the field
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(DFT) packages and in-house quantum transport codes. Fully converged simulations from established databases will serve as ground-truth benchmarks. In parallel, the same optimisation principles will be
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interfacing, thin-film technology and nanofabrication, growth and characterization techniques and neural data analysis. The research assistant will specialize in multiple facets of neural interfaces development
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. · Handle sensitive information and maintain confidentiality of all personal and corporate matters. · Engage with multiple stakeholders, internally and externally, using judgement and discretion
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to read Japanese. Experience in parallel scientific programming. Experience with High Throughput calculations. Other research and software engineering experience will be considered Availability to travel
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, with a highly innovative research and technology transfer project, this could be your opportunity. Main Tasks and responsibilities: To develop and optimize the analytical performances of the multipled
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multiple Research Support Units and Facilities, staffed by highly skilled scientists and technicians whose diverse expertise adds substantial value to ICN2's research community. The division has experienced
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. Support to the relocation issues. Life Insurance. Work-Life Balance and Flexibility with flexible work schedules 28 holidays per year Flexible compensation plan: tax advantages contracting some products
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communication skills with both internal and external teams. Ability to work under pressure and manage multiple tasks simultaneously. Proficiency in project management and budget tracking tools. English (high
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Synchrotron developing correlative (S)TEM in-situ experiments on catalysts, from SACs to multiple types of nanostructures. This position is linked to the AMADE PID2023 project funded by AEI / MCIN, led by Prof