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) is an advantage Experience in software tools such as Origin, Matlab, Python/Matplotlib or similar programs for data processing and evaluation. Knowledge of a relevant programming language complements
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programming skills (e.g., Python, R, C/C++) and experience with high-throughput sequencing data. Solid understanding of RNA biology, transcriptomics, and epitranscriptomics. Desirable Skills Experience with
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Familiarity with structured reasoning, chain-of-thought processes, and agent-based systems is beneficial Strong programming skills (preferably Python); experience with high-performance computing (HPC
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/or trainings for QC Proficiency in writing numerical software, preferably in C++ and Python Excellent command of written and spoken English, command of German is helpful Our Offer: We work on the very
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) and programming languages (e.g. Python, Matlab, R) as well as in advanced statistical methods for analyzing complex ecosystem and environmental datasets. Good knowledge of European marine ecosystems as
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programming language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred
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, including experience with tabular, image, and time-series data. Proven hands-on experience with tools such as Python, PyTorch, TensorFlow, NumPy, and scikit-learn. Familiarity with version control systems
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(e.g. fuel cells, batteries, heterogeneous catalysts, interfaces) Proficiency in high-level programming languages, e.g. Python Previous supervision of graduate students, as well as laboratory
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, Python, Julia, or MATLAB Knowledge in numerical methods and simulation, particularly for partial differential equations and finite element methods Basic understanding of mathematical modeling with and/or
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Computational Pathology is preferred. A strong publication history, including but not limited to conferences such as MICCAI, NeurIPS, ISBI, ICCV, ICML, ECCV, or others. Proficiency in Python, TensorFlow/PyTorch