592 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "INESC TEC" positions in Netherlands
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for fieldwork, conferences, and training Participation in the Graduate School's doctoral training program Job requirements We are looking for a candidate with strong research potential who is able to work both
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., PsychoPy, E-Prime, Gorilla, Presentation). Hands-on experience in data visualization, data analysis, and programming in R and/or Python. Experience in, and aptitude for, complex statistical modelling (inc
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Location ESTEC, Noordwijk, Netherlands Description The OpSTAR In-Orbit Demonstrator is one of the in-orbit demonstrators of the FutureNAV programme and includes the implementation of the end-to-end
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Location ESTEC, Noordwijk, Netherlands Description Initiated in 2017, the NAVISP programme has been operational for almost nine years. In that time, it has become a key enabler for innovation and
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Location ESRIN, Frascati, Italy Description ERS-EO/SRN Applications Engineer in the ERS-EO Programme (European Resilience from Space – Earth Observation Programme), Space Resilience Nodes (SRN
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Location ESTEC, Noordwijk, Netherlands Description Head of the Analysis Centre Control and Support Services Unit in the Business Control and Programme Management Support Office in the Directorate
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Location ESRIN, Frascati, Italy Description ERS-EO/Downstream Ground System Engineer in the ERS-EO Programme (European Resilience from Space – Earth Observation Programme). The overall objective
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Location ESOC, Darmstadt, Germany with a resident assignment to the ESA Houston Office, Texas, USA. Description The Directorate of Human and Robotic Exploration Programmes (D/HRE) is a programme
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Location ESRIN, Frascati, Italy Description ERS-EO/Downstream Ground System Manager in the ERS-EO Programme (European Resilience from Space – Earth Observation Programme), responsible
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are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship You can choose between the following topics: 1) Topic 1: Machine Learning for recognition of planetary materials