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Requirements: MSc in biology or earth sciences PhD in marine sciences or geology Desirable: experience in keeping aquarium cultures, ideally foraminifera Experience in imaging techniques (SEM, LM
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of the research project “Unreal engines — Understanding language models through resource-optimal analysis: Implicit Bayesian pragmatic reasoning & emergent causal world models”. The project uses
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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with
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per week) and is not appropriate for part-time work. The starting date is as soon as possible. The position is based in the Microbial Ecology and Diversity research group and focuses on the analysis and
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collection (focus groups) in five European countries (DE, IT, NL, PL, UK), as well as data management and analysis Author and co-author papers and publications in the frame of the project and with project
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, ideally ethnographic fieldwork. Experience in qualitative data analysis is also necessary. Experience with participatory design or participatory methodologies is desired. Other forms of experience in
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Profile PhD in bioinformatics, computational biology, systems biology, or a related field Experience in genome data analysis (metagenomic/amplicon sequencing) and genome analysis (assembly, annotation
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. Responsibilities include: Designing and executing behavioral learning paradigms with social and non-social reinforcement In vivo calcium imaging during learning and sleep Quantitative analysis of neural activity
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Profile A PhD in (bio)acoustics, spatial ecology, marine environmental science, or a related subject Experienced in acoustic propagation modelling, signal processing, and data mining A strong background in
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | about 1 month ago
biological systems, prior experience in biological modeling and in transcriptomic data analysis. Proficiency in programming (e.g., Python, R) and familiarity with high-performance computing environments