156 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"Department-" positions in Netherlands
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imagers, leaf-level validation sensors, and modelling tools to support interpretation of canopy-scale photosynthesis. This project is part of the GreenControl programme which is funded by the Dutch Research
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levels, biological effects, spatial and temporal trends, and environmental status. Experience with GIS and an affinity for additional programming languages, analytical tools and data-visualisation software
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Plan, to structure the PhD trajectory Advancing conceptual thinking by linking farm heterogeneity and typologies, diverse values and valuation of nature, and theory of transitions and transformations
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behaviour and the human psyche, education and upbringing, communication, society and culture. The faculty provides education to 6,000 students and employs 700 staff. Education is organised into six programme
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analysis. • Experience with, or a strong interest in, machine learning, probabilistic modelling, statistics, signal processing, digital health or wearable sensor technologies. • Programming
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the individual choice budget. Plenty of opportunities for education, training and courses. Partially paid parental leave Attention for working healthy and energetically with the vitality program. Will you need
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our CRM team on a temporary basis and help strengthen the digital processes that support marketing, sales, programme management, participant services and finance. You will work in an informal
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, training and courses. Partially paid parental leave Attention for working healthy and energetically with the vitality program. Will you need to relocate to the Netherlands for this job? TU Delft is committed
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course program tailored to your needs and the research team. The gross salary for the first year is € 3.059,- per month rising to € 3.881,- in the fourth year in according to the Collective Labour
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, Biomedical Engineering, or a related field. Further, you have: Open-mindedness and strong motivation to embark on interdisciplinary research Solid programming skills Experience with experimental research