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will work in a highly interdisciplinary environment provided by IMDEA Nanociencia and will have the opportunity to work in strong synergy with several national and EU collaborators of the SpinOrbitronics
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FieldBiological sciencesEducation LevelMaster Degree or equivalent Skills/Qualifications Hold a BSc/MSc in Ecology, Environmental Sciences, Limnology, Remote Sensing of the environment, or Geosicences, and fulfil
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research is to design, fabricate and characterize both spin based synapses and neurons for Neuromorphic and Reservoir Computing. The candidate will work in a highly interdisciplinary environment provided by
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international and industrial partners.IMDEA Nanociencia offers a highly competitive world–class research environment within the UAM-CSIC Cantoblanco Campus of International Excellence (CEI) in Madrid, Spain. With
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 2 months ago
, Sports, Environmental and Food Science by the development of analytical tools for the in situ and automatized monitoring of organic compounds of relevance. The UCAM-SENS is a scientific unit that strives
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with our pay scales. Target start date: October 2024. We provide a highly stimulating environment with state-of-the-art infrastructure and unique professional career development opportunities. To check
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for applications in myriad areas, including Energy, Catalysis, the Environment, Encapsulation, and Life Science. Within the last years, the group has published more than 50 scientific papers in prestigious
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candidate will benefit from a stimulating and international research environment in a young and dynamic team. The host group is committed to maintaining a respectful, inclusive, and friendly working
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international research environment in a young and dynamic team. The host group is committed to maintaining a respectful, inclusive, and friendly working environment for all staff and students, as
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for Computer Systems] Integration of machine learning methods in computer systems software to improve the resource management of large data centers and cloud computing environments, with a focus on improving