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                . The successful candidate will receive careful mentorship both from the supervisor and from other peers through a dedicated mentorship program. Technical queries should be directed to Benedikt Jahnel 
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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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                . The department of Atmospheric Chemistry (ACD) and Atmospheric Microphysics (AMP) research the chemical and physical properties of aerosol particles and their interactions with clouds. Process-based laboratory 
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                information at: http://www.ifw-dresden.de The Institute for Materials Chemistry (Director: Prof. Dr. Anjana Devi) at the IFW Dresden, Germany, offers a PhD position (m/f/d) on the topic: Precursors 
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                Leibniz Association. The following position is available at the Institute subject to approval by the funding organization from October 1, 2025, for a fixed term of three years, in the program area "Next 
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                of materials science who is passionate about both physical chemistry and nanoscale characterization of materials. YOUR TASKS: The PhD position is part of the E-MOSAIC project, which is focused on the development 
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                microphytobenthos and its contribution to the benthic methane flux from the coastal zone of the Baltic Sea” in the working group Trace Gas Biogeochemistry within the Department of Marine Chemistry. The position is 
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                -pelagic coupling on N2 O production and emissions in shallow coastal ecosystems of the Baltic Sea” in the working group Trace Gas Biogeochemistry within the Department of Marine Chemistry. The position is 
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                part of a multidisciplinary, international, and dedicated project group that offers you a wide range of opportunities for personal and professional skill development. The LIN offers excellent 
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                the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck of computational load for such a development. In the frame of a