206 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" PhD scholarships in Netherlands
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skills in English (C1); good communication skills and a willingness to collaborate within an interdisciplinary research programme. Dutch proficiency (B2), or willingness to learn Dutch, is required due
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research to address climate justice. JUST ART PhDs will study and develop concrete cases to learn how art and artistic research can be embedded in ongoing and emerging work on climate justice. They will
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physical). Solid background in programming and experience with machine learning. Knowledge of participatory design and co-creation methodologies. Ability to learn independently and passion for research
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at NIOZ as a PhD candidate means working and learning simultaneously conform the NIOZ PhD policy. 338 annualized holiday hours for a full-time 40-hour work week. Pension scheme via ABP, 8% holiday allowance
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matters of scientific urgency. Where to apply Website https://www.academictransfer.com/en/jobs/357678/phd-position-in-project-mechani… Requirements Specific Requirements We look for an enthusiastic
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“learning from nature” approach to explore how novel protein crops and their close relatives interact with neighbouring plants and the wider ecosystem, translating these insights into biodiversity-positive
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, please contact Cécile de Morrée. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Where to apply Website https
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limited. To learn from past warmer climates and better understand the link between climate and extremes, we can use proxy-based climate reconstructions and climate models for past warmer climates. However
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understanding needed to guide crop improvement, support breeding strategies, and design resilient ideotypes for future Dutch protein landscapes. Where to apply Website https://www.academictransfer.com/en/jobs
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perspective. The second PhD position within this work package will focus on ‘learning from nature’. Together, these complementary perspectives will contribute to an integrated, system-level approach