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. The ideal candidate will have a completed degree (Masters/PhD) in Applied Mathematics, CSE, or comparable programs with above-average results; good programming skills and experience in C++ and Python
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of programming languages such as Python is an advantage. Practical lab skills and enjoying experimental work is also a plus. Involvement in teaching (supervising practicals or tutorials) is possible. Your tasks
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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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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
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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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(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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programming skills with python Comprehensive knowledge of data science, data analysis, data management as well as machine learning Experience with data-driven machine learning (SINDY, LASSO, SISSO packages
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23.04.2024, Wissenschaftliches Personal We are offering one postdoc position to a highly motivated researcher with a background in geography and urban ecology with experience in modeling, GIS and
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(e.g. Python, R, …). Familiarity to work on a Linux computing cluster (HPC). Preferably experience in working with large medical image data. Vivid interest in the analysis of microscopy images or similar
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conducting work overseas (Africa or Latinamerca) is desirable. • Experience conducting statistical analyses of experimental datasets, and strong analylical skills (proficiency in R, Python, or Matlab