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science, ecosystem modelling, or a related field. The degree must have been obtained no more than 10 years ago. Strong background in numerical modelling and data analysis Experience with programming
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behavioral and neurophysiological data, coordination of the studies at different stages, data analysis, and reporting the research findings. You will be part of a multidisciplinary research group supporting
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decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic resistance and microbiomes, statistical analysis
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coordinated analysis of long-term ecological data to understand the drivers and consequences of global change on biodiversity. To unravel how populations, interactions between species in natural communities and
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candidates can start as soon as possible and ideally by early 2026. The overreaching aim of REC is to generate a coordinated analysis of long-term ecological data to understand the drivers and consequences
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data has increased massively in the last decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic
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participate in a project which investigates and develops novel immunotherapies (cell therapies) to cancer, utilizing both mouse and human systems. Applicants should possess a PhD degree or be close to
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, facilitating numerous future studies. What we offer: A high-quality research environment, where experienced supervisors and colleagues working on multiple research projects on data analytics can support your
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interactive prototypes for scenario testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in
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a dynamic, international research environment. Your experience and ambitions Required Qualifications PhD in Electrical Engineering, Physics, Photonics, Materials Science, or related field Strong