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-based solutions for adaptation in Europe (Trees4Adapt)" Summary of the whole project Climate change and biodiversity loss are interdependent crises, but knowledge gaps on their interplays prevent
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sequestration, greenhouse gas emissions, … Not surprisingly therefore, soil biology has emerged as the new frontier in environmental sciences, but despite the rapidly evolving knowledge on soil biodiversity as
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related field. The candidate should have excellent programming skills (e.g., Python), expertise in machine learning and fluency in English (speech and writing). Prior knowledge of neuroscience and/or deep
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or electrical engineering. You are motivated, creative and have a passion for academic research. You have an affinity with both experimental research and simulation software. You have a strong technical knowledge
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in the top 10% of their cohort. Proficiency in software engineering and knowledge of python are a plus. You should be a native speaker of English or Dutch, or provide proof of English proficiency
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knowledge of one or more of the following topics: Microbial cultivations, Omics technology, Flow Cytometry, basic reactor work and analytical chemistry; Previous experience in working with the biodegradation
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the global carbon cycle and the global climate. The shape and size of trees within a forest are impacted by forest dynamics (e.g. tree growth and forest disturbances). Our current knowledge about forest
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laboratory or data analysis work is a plus but not required Knowledge of Dutch is an advantage WHAT WE CAN OFFER YOU We offer a full-time position as a doctoral fellow, consisting of an initial period of 12
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). Job profile We look for a highly motivated and talented individual with a strong background in computational solid mechanics, knowledge of damage/fracture mechanics, and experience in finite element
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programming. Knowledge of C and C++ is a must. Previous hands-on experience with wireless technologies such as Bluetooth Low Energy or Ultra-WideBand is a plus. You can plan and carry out your tasks in