680 evolution "https:" "https:" "https:" "https:" "https:" "University of St" "St" positions in Netherlands
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to contribute to the development of innovative EO solutions. We offer: a stimulating multinational, interdisciplinary and open work environment; access to high-performance computing infrastructure and
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, acquiring funding and building an academic profile. Clear expectations, mentoring and regular feedback are key elements, with explicit attention to sustainable career development. The role also involves
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transform industrial biotechnology? We are looking for a creative and highly motivated PhD candidate to study the biology, evolution, and biochemistry of engineered cyanobacteria–actinomycete symbioses
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experts in biomarker-related work. Report study results in scientific papers. Where to apply Website https://www.academictransfer.com/en/jobs/357650/postdoc-on-prediction-subgroupi… Requirements Specific
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for understanding CHD occurrence, distinguishing three key components: (1) risk factors that drive the long-term development of atherosclerosis, (2) trigger factors that precipitate acute coronary
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-vulnerability model provides a more comprehensive framework for understanding IS occurrence, distinguishing three key components: (1) risk factors that drive the long-term development of atherosclerosis, (2
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metabolite features (MS/MS fragmentation data, ion mobility data). Performing sample preparation, quality control, and data acquisition. Contributing to infrastructure development (LIMS, data linking
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metabolite features (MS/MS fragmentation data, ion mobility data). Performing sample preparation, quality control, and data acquisition. Contributing to infrastructure development (LIMS, data linking
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Protection and Explosive Safety. The department is part of the TNO unit Defence, Safety & Security. This project is a follow up of our previous published work on traumatic brain injury: https://www.nature.com
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, health and environmental stimuli jointly determine how animals function, adapt and contribute to ecosystems. PhD: Development of AI Models for prediction of resilience and susceptibility infectious