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related field. Strong software development and programming skills, with experience in designing and implementing complex software systems. Research experience in artificial intelligence and/or machine
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(deep neural networks) Probability theory Computer vision Robotics Programming skills (Python, C++) and ML libraries (PyTorch, Tensorflow) Preferably, the candidate has experience with: Bayesian machine
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of the following qualifications: Documented education as engineer. Experience with developing software for medical robotics and AI. Experience with automation hardware and software. Strong programming skills (e.g
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(ISO 21434 and/or UNECE WP.29 R155) Automotive system security, particularly in battery management systems (BMS), security, including anomaly detection and firmware protection Programming for security
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programs Interest in working in a multidisciplinary and multicultural team Willing to collaborate with internal and external collaborators as well as support group members Desired Qualifications Basic
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record-keeping skills Proficient computer skills, including MS Office and research software programs Interest in working in a multidisciplinary and multicultural team Willing to collaborate with internal
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experience in implementing and applying machine learning models. Additionally, good programming skills in R and Python are required, as these tools are integral to the courses. Offer of employment will
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-years of work experience) related to data science, bioinformatics, computer science or within natural sciences Excellent programming skills, preferably in Python and/or R Good software engineering
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applying. The application must include: Cover letter (max. 1 page) Project description and research plan (max. 4 pages) Curriculum Vitae with applicant's e-mail and phone number Documentation
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. Teaching portfolio – you can find instructions for this here. A complete list of publications indicating which publications are most relevant for the position. Research plan Up to 3 of the most relevant