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are looking for motivated and reliable students who meet the following requirements: Enrolled in a bachelor’s or master’s degree programme (preferably in biology, environmental sciences or a related field
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partner and support the overall scientific goals of the project. YOUR PROFILE Master’s degree in chemistry, materials science, energy materials, or a related field. Experience with lithium-ion batteries and
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Project & Group: You will work in the Computational Chemistry group, led by Dr. Mehdi D. Davari, an interdisciplinary team focused on accelerating chemical and biological discovery using computational tools
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worth living in. Are you an enthusiast about small invertebrates’ biodiversity, with an appeal for technology)? We are seeking a motivated soil zoology technical assistant (m/f/d) to support the project
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qualifications profile Enrollment in a bachelor's or master's degree program, preferably in sociology or another social science program Interest in the topics of social inequality and the life course Very good
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datasets. Developing and implementing data processing workflows to create high-quality visualizations and maps. Utilizing PIK's high-performance computing cluster for spatial and temporal data analyses
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, weighing and chemical extraction Data entry and evaluation Literature research Your qualifications Enrolment in a Bachelor’s or Master’s degree programme in environmental or natural sciences or equivalent
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Bachelor (advanced) or Master program with a focus on political science, economics, data science, statistics, or a related discipline; Excellent knowledge of the English language (the working language of
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management Your profile you have a university degree (university of applied sciences) or completed vocational training including professional experience in the field of mechatronics with a focus on electrical
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science