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physiologically structured population modelling or stage-structured biomass modelling is an important merit. Expertise in community ecology and experience in ecological risk analysis are merits. Generic merits: We
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familiarity with associated technologies. Demonstrated programming proficiency in languages such as Java and Python, along with experience in various development environments. Knowledge of participating in
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beamline is dedicated to X-ray absorption spectroscopy (XAS) and X-ray emission spectroscopy (XES) experiments in the medium and hard X-ray energy range, 2.4 - 40 keV. The beamline is in user operation since
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oral and written proficiency in English. Substantial hands-on experience of epitaxial growth of AlN or related materials by MOCVD. Assessment criteria This is a career development position primarily
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in labour unions, etc. We seek a talented and open-minded candidate, who is eager to learn and has a genuine scientific interest. Extensive knowledge in and practical experience with protein expression
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therapeutic strategies that efficiently target currently hard-to-treat ovarian carcinomas. Work responsibilities The successful applicant will independently perform animal experiments with human ovarian
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international peer-reviewed journals, including at least one as first author, is required. Extensive previous practical experience in the following is required and should be clearly described in the personal
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: We are looking for a candidate who has: A strong interest in the marine environment, fish, and research in these areas Documented experience of publishing in international peer-reviewed scientific
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of appointment/assignment relevant to the subject area. The successful candidate should have a PhD in ecosystem ecology, biogeochemistry, physical geography, or a related field. Past experience of synoptic surveys
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no later than the time the employment decision is made Good ability to develop and conduct research of good quality, Pedagogical ability, Experience of interdisciplinary collaborations. Excellent knowledge