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programming languages such as R or Python Experience with multiome data analysis (e.g. methylomics, Lipidomics, Proteomics, ATAC-seq) Proven experience with advanced computational methods such as deep and
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conducted in close collaboration with Everllence (formally known as MAN Energy Solutions). The developed methods have to be tested in simulation and on real engines. Previous Work https://openreview.net/pdf
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biophysics, biology, biochemistry, or other relevant discipline Excellent written and spoken English skills High degree of independence and commitment Good knowledge of python and C++ Experience in relevant
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applications Good analytical and (bio)statistical skills Knowledge of relevant programming languages such as Java, Python, and Perl Good knowledge of relational and document-oriented database design (e.g., MySQL
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programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm for experimental work are highly valued. Participation in teaching activities (e.g., supervising practical
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, systems biology, biomedical data science, cancer biology, or a related field Strong experience in omics data analysis, ideally including single-cell or spatial transcriptomics Proficiency in R and/or Python
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publications Excellent command of English Strong proficiency in programming languages such as Python, MATLAB, or R Demonstrated methodological expertise in advanced EEG and/or fMRI methods, evidenced by
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skills in Python, Java, C++, etc. A solid foundation in generative AI, machine learning, and related areas. An Interest in eye-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
Theory (NIFTy) Background in Galactic cartography and large-scale structure inference Excellent programming skills (Python and scientific computing environments expected) Experience with high-performance
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kinetic mechanisms and key elementary reactions involved. Addressing this shortcoming is the goal of this project. Please visit the DFG research unit description for more information on the topic https