14 python-"https:"-"Mines-Paris-PSL"-"CIPMM---Systemic-Neurophysiology" PhD positions in Spain
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- Universidade de Vigo
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modeling with SUMO. Programming transport modes with Python. Integration of climate constraints into a transport model. Emergency and disruption management. Where to apply Website https://sede.uvigo.gal
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robots for facade operations. Programming in MatLAB and Python. Navigation in GNSS-denied environments. Publicacion of scientific papers. Development of project deliverables. Where to apply Website https
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validation (preferred) • Good programming skills (MATLAB, Python, or similar) • Ability to work in an international and interdisciplinary research environment • Good written and spoken English Specific
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dissemination through scientific conferences (oral presentations/posters), peer-reviewed journals and outreach. Where to apply Website https://calls.bcbl.eu Requirements Research FieldTechnology
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the development of compact device modeling, SPICE simulation and with programming skills in general programs such as python, Matlab or similar. Experience on memristors is also acknowledged. Experience in circuit
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on the findings, contributing to the broader framework of the group's ongoing technological research projects. Link to the call for applications on the UB website: https://seu.ub.edu/ofertaPublicaCategoriaPublic
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researchers (Dr. Hatim Chergui, Dr. Pouria Khodashenas, and Prof. Cristina Cervelló-Pastor). Where to apply Website https://jobs.genome-msca.eu/ Requirements Research FieldTechnology » Telecommunications
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rates, that is, whether they show phenotypic plasticity; (4) Writing scientific articles. IP: Cesc Múrria (IRBio-UB) Research Group: ZooSysEvo (https://zoosysevo.net/ ) Where to apply Website http
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expertise in analysing complex quantitative and computational data and/or rich qualitative data. • Proficiency or skills to learn a statistical software (e.g., R, Stata, Python). • Interest in contributing
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mechanics, or advanced material behavior. Programming skills (e.g., Python, MATLAB, Julia,..), ideally with experience in numerical methods or scientific computing. Familiarity with machine learning