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organisations and co-develop an aligned and shared vision in the form of adaptive pathways for each infrastructure organisation. These cross-sectoral pathways take into account what happens now and in relation
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, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will
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mutualistic and antagonistic insect flower visitors in the greenhouse and in the field. Analyse complex data sets involving e.g. metabarcode sequencing Chemical analysis of flower nectar using HPLC and GC-MS
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for delta adaptation and development under uncertain changing conditions? How can we sequence measures that are made in different regions, e.g. using modelling tools? What is the timing of decisions and what
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for translation and testing model predictions; bioinformaticians, investigating evolutionary conservation of sequence, (co)expression and regulatory modules; and modelers, developing crop-specific integrated plant
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workstreams, and the PhD’s will be working along senior staff to perform tasks in different workstreams, in strong collaboration with multiple international partners and fellow PhDs from all over the world. Key
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include: Conducting innovative research and developing proof-of-concept designs, collaborating with sensor providers and other potential collaborators; Writing multiple research articles, collectively
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(max. 2 pages) explaining your interest in the position and how your background aligns with the project. A curriculum vitae (CV). Academic transcripts and copies of your Bachelor’s and Master’s diplomas
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predict how much and how fast proteins are produced in vitro, as we need to learn the so-called cis-regulatory code: the relationship between DNA sequence and protein levels. The ambition of this project is
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. You already have good background knowledge on atmospheric composition and greenhouse gas cycles and experience with isotope measurements. Next to this you find yourself in one or multiple