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these results with complementary techniques such as TEM or SEM Data Analysis and Interpretation: analyze experimental data using appropriate methods and software interpret the results in the context of refining
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position within a Research Infrastructure? No Offer Description Work group: Institute of Materials Physics Area of research: PHD Thesis Starting date: 02.04.2026 Job description:Doctoral student
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combines state-of-the-art computational multiscale modelling (using DFT/TDDFT methods, collision theory, molecular dynamics, stochastic dynamics, Monte Carlo and analytical methods) and its thorough
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in field conditions. The samples can now be processed and analysed. We are looking for a motivated intern to work on the processing of root samples. The intern will learn and use root analysis methods
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students). Requirements * PhD degree in Computational biology or related (Computer Science, Physics) or at least 3 years of experience in scientific software development * Experience with NGS data processing
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Coordinating statistical analysis with a small group of PhD and Master students Supervise data management procedures of ongoing studies (e.g., data cleaning, data reconciliation, query management, and data
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 27 days ago
science. Your profile PhD in Computer Science, AI, Human-Computer Interaction, Computational Biology, Software Engineering, or a related field (or MSc with substantial professional experience). Strong
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) – full-time or part-time, EG 13 TV-AVH – The research group under the direction of Dr. Maria Rosenthal is combining structural biology, virology and biochemistry methods to investigate the mechanisms
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literature and existing solution approaches, then formalize the use case, its scale, constraints, and available data. Building on this, you will design and implement a prototypical end-to-end system. In
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workflows for image data formation, quality assessment, and annotation management Systematic investigation and formalization of repetitive and undocumented data curation practices Development and