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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | 3 months ago
Job Code: 2503 Job Offer from May 15, 2025 The Max-Planck-Institute for Neurobiology of Behaviour – caesar (MPINB) is a neuroethology institute located in Bonn that studies how the collective
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to research this topic. Interest in laboratory work and basic technical understanding. Fluent written and spoken English. Programming skills in e.g. Python, R, Matlab and Java. Experience in image processing
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with molecular biology, scRNAseq/ATACseq, in vivo 2-photon live imaging, and mouse behavior Experience with coding is an asset (e.g., R, Python, MATLAB). Ability to work independently and as part of a
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Date 07/28/2025 Requisition Number PRN42659B Job Title Post Doc Res Assoc Working Title Post Doc Res Assoc Job Grade A00 FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per Week 40
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. Proficiency in geospatial, 3D, and image-processing software for data collection and analysis. Experience working with GIS, QField, total stations, geophysical equipment, and drones. Experience in stratigraphic
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
Job Code: 17-25 Job Offer from June 04, 2025 The Department of Prof. Dr. Stefan W. Hell invites applications for a PhD position at the intersection of optics, molecules and biophysics
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per year for 3.5 years. Lead Supervisor’s full name & email address Dr Massimiliano Fasi: m.fasi@leeds.ac.uk Project summary The growing importance of artificial intelligence is fostering a paradigm
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flow visualisation and measurement techniques to study droplet impact under icing conditions to improve icing codes that aid in design and development of ice detection and mitigation system
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imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image processing) analyzing experimental results; developing conceptual models and
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, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical