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applications and end user experiences Writing code using programming languages such as C#, C++, Python, Kotlin, Java or Swift Developing and implementing APIs to write XR applications and use OpenXR standards
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master’s, PhD, or MD/PhD program in computer science, data science, biomedical informatics, engineering, biostatistics, or a related field Experience with Python and machine learning methods Interest in AI
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(Python, C++) and computer (Linux, Windows) skills Excellent cooperation and communication skills You enjoy working within a diverse team in an international and interdisciplinary environment Very good
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Python and PyTorch Assist in dataset preparation, preprocessing, and augmentation Run training and evaluation pipelines Analyze experimental results and document findings Collaborate closely with graduate
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Python and PyTorch Assist in dataset preparation, preprocessing, and augmentation Run training and evaluation pipelines Analyze experimental results and document findings Collaborate closely with graduate
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or Python Can work independently and demonstrate critical thinking This is a part-time position with flexible working hours. The estimated workload is 10 hours per week. The expected start date is 1 April
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or Python Demonstrated organisational and administrative skills with the ability to prioritise tasks Demonstrated effectiveness in both written and oral communication skills demonstrating appropriate
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software. Experience programming with MATLAB, C++, or Python. Experience in modeling electric motors and electromagnetics. Hands-on experience designing and fabricating electric motors. Strong knowledge
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(Python, C) and computer-aided omics approaches (transcriptomics, RNA imaging), as well as pathway modeling, are highly desirable. Specific Requirements Microscopy (live and fixed tissues); computer-aided
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, or machine learning Solid mathematical and physics background, distinct analytical skills Very good programming (Python, C++) and computer (Linux, Windows) skills Excellent cooperation and communication skills