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breakage models, e.g. with stochastic tessellations Development and implementation of estimation methods for the model parameters, e.g. with machine learning or statistical methods Lab work and collection
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motivation in conducting evolutionary and chemical ecological research at different levels. •MSc/diploma in a relevant field (e.g., evolutionary biology, chemical ecology, sensory biology). •Strong experience
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the dissemination of research findings through conferences, seminars, and other scientific events Your qualifications and skills: You hold a MSc in plant science, crop science, biology, or related field. You have
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hold a MSc in plant science, crop science, biology, or related field. You have experience growing, managing, and phenotyping plants in the field and greenhouse. You have experience using modern
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, and other scientific events Your qualifications and skills: You hold a MSc in plant science, crop science, biology, or related field. You have experience growing, managing, and phenotyping plants in
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astrophysics, condensed matter physics and solid state theory, statistical and biological physics, mathematical physics, quantum information theory, and nuclear physics. Course organisation All graduate studies
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Ecology Associated Applied Statistics and Empirical Methods (ASEM) Faculty of Chemistry Faculty programme Chemistry Thematic programme Catalysis for Sustainable Synthesis (CaSuS) Faculty of Geoscience and
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accumulation in developing barley grains. Present and publish scientific findings. Your qualifications and skills: You hold a MSc degree (or equivalent) in biology, biochemistry, crop science or related field
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cooperation in the training of young neuroscientists. The IMPRS Mechanisms of Mental Function and Dysfunction (MMFD) offers a PhD programme for outstanding MSc graduates. For detailed information, please visit
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, certificates, and contacts of two potential referees. Job profile – We require • Strong interest and motivation in conducting biodiversity research at different levels. • MSc/Diplom (DE) in a field related to