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in the Department of Microbiome Dynamics of Prof. Gianni Panagiotou of the Leibniz-HKI in an international, dynamic team and an “open-door” atmosphere with access to state-of-the-art computational
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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: ausschreibung10-25@mpinat.mpg.de Apply now Max Planck Institute for Multidisciplinary Sciences Department of Theoretical and Computational Biophysics Prof. Dr. Helmut Grubmüller Am Faßberg 11 37077 Göttingen
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scientific expertise, well-equipped facilities, an active seminar program, and opportunities for conference attendance and collaboration with other research organisations. Scientific contact Prof Dr Gunnar
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
/ ). The candidate is expected to support Prof. Katrin Vorkamp’s research in this centre, with possibilities for networking and exchange on PFAS. However, the candidate is also expected to contribute to Prof. Katrin
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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(e.g. scikit-learn, PyTorch). Flexibility to adapt to different application fields. Independence and time management. Who we are The Computational Physics and Machine Learning Lab led by prof. Lucantonio
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specializes in fluorescence and Raman-based approaches, integrating advanced microscopic analysis to gain molecular-level insights into complex materials and systems. The lab is internationally recognized