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of the Leibniz Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between
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, is a prominent member of the Leibniz Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex
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-performance analytical technologies to study disease mechanisms in experimental models of CNS disorders. Project The PhD candidate will investigate the cell type-specific role of Bruton’s tyrosine kinase (BTK
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 14 hours ago
computational software used in Chemistry Analytical skills and experience in scientific data analysis Ability to work collaboratively in interdisciplinary environments Excellent written and verbal communication
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machine learning for time series, geospatial data or dynamic models; ideally experience with deep learning frameworks (e.g., PyTorch). Strong analytical and conceptual skills for designing and interpreting
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and Spectral Theory" at the Mathematical Institute at the Georg-August University of Göttingen. Your profile Master degree in mathematics or equivalent Research focus with an analytical profile in
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nano-computed tomography, and scanning electron microscopy design and implement deep learning models to enhance resolution of large field-of-view imaging techniques integrate imaging data across
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
To strengthen our team in the department “Analytical Chemistry; Reference Materials” in Berlin-Adlershof, starting as soon as possible, we are looking for a PhD student (m/f/d) in the field
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. Qualifications The applicants should possess: an excellent or very-good university degree in economics, business studies, agricultural sciences with a focus in economics, or related disciplines strong analytical
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strong background in one of the biological disciplines covered by PRIDAS (behavioral biology, data science, neuroscience, physiology, genetics) Knowledge of at least one analytical programming language