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System Planning offers a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting at the earliest
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inviting applications for a PhD Student (f/m/x) for the project Theory and Algorithms for Structure Determination from Single Molecule X-Ray Scattering Images Project description Single molecule X-ray
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PhD project: Our lab studies regulatory mechanisms at the interface of proteostasis and genome stability. We are particularly interested in the diverse signalling functions of the posttranslational
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inviting applications for a PhD Student (f/m/x) in the field of Theory and Methods for Non-equilibrium Theory and Atomistic Simulations of Complex Biomolecules Possible projects are variational free energy
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availability of resources, in cooperation with Leipzig University eight positions as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary
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/ PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting betweenJuly and December 2025. The positions are limited to three years
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, structural biology, biophysics, cell biology, chemical biology and synthetic biology? The International Max Planck Research School for Living Matter: from molecules to dynamics (IMPRS-LM) is a joint PhD
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for scholarship applicants ” in section A, point 2). must not have completed a PhD previously What we offer - a high-profile research environment - an efficient supervision and mentoring program - courses in novel
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the following PhD project: Alternative splicing (AS) massively increases transcriptome complexity in higher eukaryotes, with critical implications in developmental processes and stress responses. Studying AS
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or computer science Strong academic background in signal processing, radar imaging or remote sensing Proficiency in image processing and machine learning Interest in working with Radar instruments and data Excellent