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microorganisms catalyze the freezing of cloud droplets. These substances are a significant source of so-called ice-nucleating particles, particularly over remote marine regions. The aim of the advertised PhD
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Description Reference number 3694: PhD student researching and developing alternative methods to animal testing (f/m/d) in the Experimental Toxicology and ZEBET department of the German Federal
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are seeking a highly motivated and talented PhD student (m/w/d, E13 TV-L, 65%) to join our team and contribute to cutting-edge research in the field of metabolic diseases. Job description The RTG 2816 is a
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theories and numerical methods, carrying out and analysing field and remote sensing observations and conducting and analysing numerical model simulations. The PhD position is funded by the German Research
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of agricultural applications, technology, and research. Compensation The position will be paid in accordance with the Collective Agreement for the Civil Service of the Lands (TV-L). Your qualifications • A Master’s
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experience growing, managing, and phenotyping plants in the field and greenhouse. You have experience using modern approaches in root phenotyping, image analysis, or simulation modeling to understand
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magnetic components of the dynamo are to be simulated numerically. Your profile: Potential candidates (m/w/div) should hold a Masters or Diploma degree in Materials Science, Mechanical Engineering
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Your Job: Against this background, this PhD thesis aims to investigate how water availability affects the energy transition. The goal is to achieve a sustainable energy and water supply and to
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. However, these technologies are inherently dependent on weather conditions, which are likely to be influenced by climate change. The PhD position is aimed at investigating the effects of future climate
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data