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: university and, if applicable, PhD degree (e.g. Master/Diploma) in mathematics, physics, materials science or related subjects basic knowledge of computer programming (e.g. Python, Matlab and C++) excellent
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a doctorate. We are looking for: candidates with a Master’s degree in mathematics or a closely related field and with a strong background in probability theory. Prior knowledge in spatial stochastic
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knowledge gap exists regarding their impacts on microorganisms in the environment (Zabaloy et al., 2022). Previous studies show mixed results on the effects of surfactants on glyphosate biodegradation
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of Chemistry (Inorganic Chemistry). Our group investigates fundamental questions in bioinorganic chemistry using advanced spectroscopic techniques to understand the structure and reactivity of complex metal
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experience in software engineering, with a sound understanding of key principles and best practices. Knowledge of the following areas is desirable: Experience and/or prior knowledge in one of the following
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Deutsche Forschungsgemeinschaft within the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in
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semiconductor properties to the composition of lead-free double perovskites Your Profile: Master’s degree in theoretical or computational physics, chemistry, materials science, or a similar field Familiarity with
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. The work is carried out in close cooperation with users from the nuclear waste management sector. Your profile Completed university studies (Master/Diploma) in the field of Chemistry, Radiochemistry
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to characterise mice in terms of their cognitive, social and emotional behavioural spectrum Molecular and cell biology analyses of neuroplasticity, endocrinology and immunology using established techniques (e.g
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support reduction in model uncertainties associated with the estimates of the full N budget at the European continental scale and improve knowledge on the mechanisms governing N translocation publication