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: Programming skills (e.g., Python). Experience with digital materials science, data organization, and storage. We Offer: A 3-year E13 TV-L 100% contract starting 2025 or 2026, depending on availability. A
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Experience with basic molecular biology techniques (PCR, cloning etc.) Preferably knowledge in the characterization of microbial rhodopsins Skills in data analysis with Python Excellent organizational
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qualifications in probilistic risk modelling, applied statistics and familiar with quantitative risk modelling measures strong data analysis skills and proficiency in R and Python; experience with other programing
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materials, and interest in operando characterization Experience with programming / scripting (ideally Python), and, optionally, with control systems (SPS/PLC, EPICS, Tango) Fluent in written and spoken
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 2 months ago
Excellent communication skills, and in particular good command of the English language. Programming skills: Python, MATLAB, Wolfram Mathematica etc. In addition, research experience in one of the following
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Documented expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills
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on sleep in model organisms such as zebrafish Familiarity with statistics and programing experience with Python Previous experience with neuroimaging is advantageous but not required Lab experience is a plus
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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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the gas phase Experience with diagnostics based on cavity enhanced spectroscopy Experience in the field of plasma spectroscopy Confident use of tools such as Python, Matlab and Origin Highly motivated and
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
package development) and command line-based analysis tools (e.g. Python) • Knowledge with public sequence databases, error correction algorithms • Scientific experience in immunology, molecular and cell