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, bioinformatics, systems biology, computer science or related field Strong proficiency in Python and/ or R Experience in single cell omics analysis and multiomics data interpretation Abilitity to work independently
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; Mechatronics; Agricultural Engineering; Mechanical Engineering; Electrical/Electronic Engineering; Computer Science; Control Engineering, or a related discipline Desirable: • Programming in Python or C
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languages such as Python, R, Matlab (preferably Python). Ability to learn new tools and content quickly and independently. Strong communication skills. The hourly pay range for this position is from $27.01
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rigorous documentation and version control. Solid programming and data-analysis skills (e.g., Python) and experience working with structural biology and protein-design software/toolchains (e.g., Rosetta
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Proficiency in basics of programming languages such as C, C++ and Python Knowledge in interfacing circuit design for low power sensing and wireless communication Familiarity with micro-fabrication techniques
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Assist with deployment and support of AI software stacks, containerized research environments, and Python-based computational workflows. Help optimize GPU utilization, data throughput, storage access
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or related areas; demonstrated publications; strong computational skills (e.g., Python, MATLAB); and experience analyzing large datasets and communicating results effectively. PREFERRED : Experience with
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 6 hours ago
in particular good command of the English language. Programming skills: Python, MATLAB, Wolfram Mathematica, EPICS etc. In addition, experience in the following areas is advantageous: Experience with X
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(e.g. DGT) • Programming skills (R, Python) Transversal skills • High level of autonomy and organizational skills • Scientific rigor and critical thinking • Ability to work in an interdisciplinary and
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information, or quantum algorithms Knowledge of machine learning (e.g., deep learning, optimization, or learning theory) Programming skills in Python and experience with scientific computing (e.g., NumPy, SciPy