689 development "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions in Netherlands
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LSRI programme BioBeyond_NL. Bring your expertise in chemical biology, bioorganic chemistry, synthetic chemistry and passion for developing new molecular tools to study biomolecular interactions in a
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Lecturer in Innovation Studies Faculty: Faculty of Geosciences Department: Department of Sustainable Development Hours per week: 36 to 40 Application deadline: 8 May 2026 Apply now We are
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income support—its timing, security, generosity, and scope—can help break intergenerational cycles of poverty and improve children’s developmental outcomes. As a post-doctoral researcher, you will become
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income support—its timing, security, generosity, and scope—can help break intergenerational cycles of poverty and improve children’s developmental outcomes. As a PhD student, you will become part of
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health research (focussing on ecosystem/human health). Your job Imminent and future climate change with increasing hydroclimatic extremes, combined with socio-economic developments are placing
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incompletely understood, partly due to the lack of physiologically relevant experimental models. This project aims to develop an advanced multicellular organ-on-chip platform that recapitulates the structural
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to develop engineering interventions to improve plant regeneration, seed germination and defenses against disease. The successful applicant will be an integral member of the GreenTE community, which offers
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is developing a future-proof agricultural sector in which agriculture goes hand in hand with soil health and nature restoration, and a good revenue model for farmers. Between now and 2030, ReGeNL will
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the development of structural color. In addition, the project will investigate the incorporation of metallic nanoparticles to produce multifunctional hybrid photonic materials with enhanced optical and
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into answering counterfactual questions. Using remote sensing multimodal time-series data and Earth foundation model embeddings, you will design and develop causal machine learning models tailored for dynamic