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Field
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, or willingness to acquire these skills) and have experience in archival research and/or (2) experience in computational methods of text mining, analysis, and visualization (e.g. Python) or analysis of biodiversity
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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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programming, statistical analysis, and spatial modelling and mapping Highly motivated to work on the subject and eager to work in an interdisciplinary marine research context Ability to think out of the box
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system) in computer science or another relevant discipline. A proven scientific focus on Artificial Intelligence (AI) & Machine Learning (ML). Experience with data analysis using ML or AI methods
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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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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 8 days ago
communication skills in English Desirable Creativity and breadth with experimental approaches Prior experience with imaging-based behavioral analysis, sequencing-based genetic analysis, and with invertebrate
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26764 Postdoctoral Research Opportunity in Bioinformatics (m/f/d) RNA modification and 5′ Cap Analysis
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The Leibniz Institute for the Analysis of Biodiversity Change (LIB) is one of the large, globally connected research museums of the Leibniz Association. In addition to excellent research
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, and benchmarking experiments Support of user experiments, commissioning and in-house research at MID Data analysis and publication of scientific results Requirements PhD degree in physics or a related
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interest (for postdoctoral candidates also experience) in stable isotope geochemistry and analysis. Expertise in data analysis and willingness to collaborate closely with colleagues in paleobiology