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As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial
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interactions, give rise to a complex macroscopic behavior. They are described by nonlinear systems, which pose many analytical challenges. Tasks: scientific research on the analysis and simulation of nonlinear
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
To strengthen our team in the department “Analytical Chemistry; Reference Materials” in Berlin-Adlershof, starting as soon as possible, we are looking for a PhD student (m/f/d) in the field
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micropollutants in the catchment area, the design, implementation and evaluation of monitoring campaigns, and the planning and analytical support of laboratory experiments on the degradation and mobility behavior
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Requirements: university degree (MSc or equivalent) in the field of aerospace engineering, physics or similar solid knowledge of Physical and Analytical Chemistry (phase changes), Computer Science and
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) in the field of aerospace engineering, physics or similar solid knowledge of Physical and Analytical Chemistry (phase changes), Computer Science and Informatics (Numerical Analysis; simulation
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laboratory experimental work You combine an efficient working style with attention to detail and goal-oriented thinking You are skilled in using basic analytical tools (e.g., MS Office) You have basic
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molecular biology expertise in mammalian cell culture, and genome editing techniques strong analytical and problem-solving skills preferably skills in next generation sequencing-based methods and