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Python Independent and analytical way of working Reliable and thorough working style Fluent written and spoken English; German language skills are advantageous Please feel free to apply for the position
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, Skills and Experience Broad knowledge of statisticsSkills in programming languages such as R and/or Python Experience of applying statistics to solve complex real-world problems Ability to handle a diverse
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(preferably in Python); Interested in contributing to educational activities; Excellent proficiency in English (oral and written). Research at our faculty The Faculty of Science is a world-class faculty where
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the solid Earth and ice sheets Excellent problem-solving skills and ability to creatively apply multidisciplinary knowledge Excellent command of scripting and programming languages like shell, Python or C
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results. Proficient programming skills are required (ideally Python, Julia, Java or C++). Fluency in English (both oral and written) is required. The starting date is negotiable, but we aim to fill the
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assays Interest in translational leukemia research, inflammation, and innovative omics technologies Bioinformatics experience, e.g. Python Ideally initial experience with co-culture systems, cytokine
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SQUID magnetometry or similar techniques is a strong advantage. Experience in programming, ideally using Python to the extent that you can independently write programs to control and automate measurements
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 19 days ago
molecular biology, cell biology, or neurobiology, - Basic programming skills and willingness to develop in this area, - Skilled use of Python and R would be an advantage - Admission to the Warsaw-4-PhD
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: Experience in molecular/cell biology techniques AND basic programming skills (Python or R) • For computational candidates: Strong programming skills AND interest in cancer biol-ogy/immunology • Ability
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proficiency in relevant programming languages (e.g., Python, C++) and tools such as ROS. Experience in simulation and digital twins, as well as the use of synthetic data for training machine learning models, is