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discipline (applied mathematics, physics, geoscience or engineering). Record of scientific publication in international journals, research performance, and professional achievement commensurate with experience
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 1 hour ago
processing and will involve EEG and MRI experiments as well as realistic modeling of biological neural networks. It is a cooperation between the TU Berlin, the TU Chemnitz, the Czech Academy of Sciences, and
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biochemistry, molecular biology, cell culture, flow cytometry and immunofluorescence techniques. • Experience handling experimental mouse models and certified training on animal experimentation and welfare
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Three years of working experience in the industry preferred (For Health Sciences, at least five years of relevant experience preferred) Strong passion for teaching and research Value of Scholarship
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applications from motivated candidates with relevant research experience and passion to conduct research and innovation activities on socioeconomic analysis of issues related to the production, processing, and
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(punctuation: 20) Item 02: General merits: publications, grants and awards (punctuation: 20) Item 03: Specific merits: Experience in nanomaterial synthesis and characterization techniques (punctuation: 20) Item
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, • in-depth knowledge of machine vision principles and image processing, • programming experience, preferably in Python, • practical experience with the design and testing of simple electronic circuits
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closely with our collaborators to establish a deep learning-based image analysis pipeline. The successful applicant should hold a PhD in cell biology or neuroscience. Previous experience in live cell
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scientific work and collaboration efforts of the research group Your Profile: Ph.D. in experimental nuclear physics At least three years of postdoctoral experience in nuclear spectroscopy Strong motivation
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or equivalent Skills/Qualifications Valued/Preferred qualifications: Experience in software solution development Experience with machine learning models Experience in R&D&I projects (Research, Development and