20 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" PhD research jobs at Nature Careers
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-to-edge computing frameworks and their applications in energy systems · Proficiency in programming languages such as Pytorch/JAX, AWS, HyperSim · Knowledge of energy market mechanisms and
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. · Proficiency in programming languages such as Python, Pytorch/JAX, AWS. · Knowledge of energy market mechanisms and policy considerations is a plus. · Excellent communication skills and the ability
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and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50
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will be developed at lab and pilot plant scale. This project is a collaboration between multiple partners, including Department of Chemical and Biochemical Engineering, DTU and industry leaders – Danfoss
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: Protocols for two systematic reviews Protocols for three information studies. The two protocols will be for Cochrane reviews investigating the effects of blood-based genetic testing to screen for multiple
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of the next generation of scientists is one of EMBL’s key missions. The EMBL Corporate Partnership Programme invites applications for short-term fellowships to enable junior level scientific visitors (active
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“Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491 “Interactive Spin-State Switching” This DFG-funded project aims
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), Universitätsmedizin Greifswald offers attractive benefits such as company pension schemes and employee discounts. Professional development opportunities: Regular training and development programs are offered to support
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research with possible continuation as a research assistant or in a possible PhD degree programme Place of employment and place of work The place of work is the Department of Animal and Veterinary Sciences
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AI-focused academic courses for master’s and engineering programs and continuing education in AI. The 3IA Côte d'Azur Institute aims for research excellence in the fundamental fields of AI, and in