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, this work could foster breakthroughs in drug development for AQP-related diseases. The student will build on current research to purify membrane protein ribosome bound nascent chain complexes (RNCs) of AQPs
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at the Department. Contact Dr Eikemo for a description of the project: marie.eikemo@psykologi.uio.no Responsibilities Analyze complex datasets from experimental and clinical studies including longitudinal (correlated
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focus on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and
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• Opportunity to gain experience in high dimensional computational biology analysis pipelines • Working within a collaborative and inter-disciplinary team of clinicians, molecular biologists and
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aluminium through AI-driven microstructural analysis. About us The PhD candidate will work at the Division of Data Science and AI , in the neuro-symbolic research group. This group works with combinations
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platforms, and an emphasis in deciphering complex protein-protein interaction networks that contribute to the pathogenesis of these diseases. This is a full-time, non-tenure-track position working in
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research. For the working group “Past and Future Earth” (PATH) within the Research Department “Earth System Analysis”, PIK is offering a PhD position (m/f/d) (Position number: 21-2025 PhD PATH) in the field
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personalized. The candidate will investigate textiles, computational design, and functional validation of hand-worn assistive devices, aiming to create textile exoskeletons that can conform to complex hand
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Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 2 months ago
diffraction) and data analysis (Rietveld, structure determination from X-ray powder data) Experience in planning and conducting complex experiments Excellent English language and communication skills Proactive
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consist of the following: Mathematical analysis of ecological and eco-evolutionary models, involving pencil-and-paper calculations; Computer simulations of more complex models which do not easily lend