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knowledge in programming, e.g., with Python Tape-out experience If you enjoy creative work and developing new ideas and prefer a structured and team-oriented working style, we look forward to your application
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-resolution behavioral data. Manage hardware (cameras, sensors) and software pipelines for continuous monitoring. • Computational Modeling: Develop and apply statistical or machine learning models (in Python
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as a student at a German university You have strong Excel skills, and ideally, experience in programming with Python or R. You are organized, reliable, and proactive You are a good communicator and
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Linux, Python and Conda Expertise with satellite and drone image processing Publication record in the fields listed above Experience in applying the fields listed above to the natural and/or social
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Python, R, and familiarity with bioinformatics tools and databases. Excellent communication skills, with the ability to collaborate effectively across multidisciplinary teams. WE OFFER: Located in a region
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the laboratory Electromagnetic simulation of circuits, antennas, filters, and related structures Programming by means of MATLAB, Python, C What you bring to the table Full-time student of electrical engineering or
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Python, C++, .NET, … Experience with programming cobots or industrial robotic arms Experience with MS Office Proficiency with standard workshop equipment Good written and spoken knowledge of German and
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Python What you can expect 👥 Team spirit: With us, you can expect a creative and interdisciplinary working environment in a highly motivated team in which experienced experts support and strengthen each
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languages such as R and Python, bash scripting and deep learning frameworks Ability to acquire and process data from sequencing facilities or public resources, work with HPCs, run, adapt existing pipelines
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 2 months ago
pipelines. Expertise in machine learning, with a particular emphasis on the application of large language models (LLMs) in biological data analysis. Proficiency in programming languages such as Python, R, and