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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains
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fields and high-impact journals. The candidate should be proficient and experienced in studying ecology of fish in the wild. Analytical skills and experience with statistical software (e.g. R, MatLab
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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working with deep learning software stacks, extensive software development experience, and knowledge of machine learning frameworks (such as transformers, torch, Megatron, triton etc.) are pluses. MSc
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-cell imaging) or image analysis software (e.g., Fiji/ImageJ). Advanced Cell Manipulation (e.g., genome editing via CRISPR/Cas9, flow cytometry/FACS). Basic familiarity with data analysis tools (e.g
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software as python packages Reporting findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data
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your application! We are looking for a PhD student in Medical Science, as part of the larger EU Marie Curie MCSA Doctoral Network STEM-CORE. Are you passionate about working with stem cells or stem cell
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neuroscience Integration into the project group (Universities of Frankfurt am Main and Münster, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig) and its international network A respectful
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infrastructure collaboration with leading experts in materials science, theory, and advanced characterization opportunities to participate in international conferences, research stays, and collaborative networks a
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crosstalk related to the process of mechanotransduction. This organoid will be cultured in a complex microphysiological bioreactor that allows for culture under defined conditions (oxygen saturation