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Field
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to problems were few data is available. What you bring to the table Good knowledge in machine learning and computer vision Experience in programming with Python and familiarity with PyTorch, NumPy, Pandas and
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in machine learning, AI and programming skills, e.g. Python basic knowledge of materials science / materials engineering Leibniz-IWT is a certified family-friendly research institute and actively
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desirable Knowledge in the scripting language Python, Perl, JavaScript, SQL, Git are desirable Experience with office applications (Word, Excel, PowerPoint) and with LaTeX Great ability to work in a
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-performance computing systems Familiarity with operating systems such as Linux/Unix and proficiency in shell scripting Strong programming skills, preferably in Fortran and Python Competency in visualizing and
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-scale datasets using software tools like Python Familiarity with operating systems such as Linux/Unix Good programming skills, preferably in Fortran and/or Python Good command of written and spoken
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engineering, computational engineering science or a comparable engineering degree programme You are already familiar with programming in Python and have gained initial insights into data science and signal
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to learn and master novel computational approaches Solid experience in Python programming is required Collaborative spirit, teamwork, and excellent English skills We offer An attractive, diverse work
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way and integrate a large number of different sensors. The data evaluation and modeling of the process will then take place in Python. This involves, for example, the construction of modular systems
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carried out in Python. This includes, for example, the construction of modular systems for vaccine production or the drug coating of balloon catheters. Possible areas of responsibility: Selection and
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
experience with programming languages such as Python, R, or Julia and bioinformatics tools Familiarity with cloud computing and high-performance computing (HPC) environments Strong analytical and problem