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/ double degree programme No Description/content The Berlin International Graduate School of Natural Sciences and Engineering (BIG-NSE) is an international doctoral programme that was established in May 2007
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degree program according to the licensing regulations for pharmacists (state examination) and in pharmaceutical process engineering-oriented degree programs (MSc Pharmaceutical Process Engineering, BSc
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journals Presenting results at scientific meetings Your profile Completed university studies (Master/Diploma) in the field of Chemistry, Physics, Computer Science or related field Knowledge of Density
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individuals holding a Master of Science degree in condensed matter physics or materials science, with a focus on numerical simulations - Prior experience with theoretical and or computational project work is
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 4 hours ago
dynamical manipulation of quantum systems. However, the scope of the graduate school extends to various related topics in theoretical and computational chemistry and both theoretical and experimental
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(SBiK-F Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 29 Mar 2026 - 00:00 (Europe/Berlin) Country Germany Type of Contract
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of results through high-quality publications and open-source software contributions Your Profile: Master’s degree in chemical engineering, biotechnology, computational biophysics, bioinformatics, data science
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of the whole institution. The Cluster of Excellence REC² offers (subject to the availability of resources) at the Faculty of Electrical and Computer Engineering, Institute of Semiconductors and Microsystem (IHM
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for the summer semester and 15 July for the winter semester Please apply directly at the International Graduate School of Science. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research