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Field
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analytical programming language (e.g., Python, R) or a universal programming language (e.g., C#, Java, C++, Rust) Knowledge of the use of relational and non-relational databases Very good English skills
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, genetics or other relevant disciplines Publications Programming skills (R or Python, Linux shell scripting) Personal characteristics In order to complete a doctoral degree (PhD), it is important that you are
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. Familiarity with computer programming, e.g., Python, Julia, R, etc. Personal characteristics Motivation for conducting research at an advanced level. Motivation for teaching duties. Ability to work
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data analysis tools (e.g., python, R, SQL, Power BI or similar); You are an excellent team-player in an enthusiastic group of scientists and practitioners from different backgrounds; You are fluent in
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, computer science or related fields. Applications must have a strong mathematical background and strong ML/AI background; be able to efficiently implement models in computer code (using e.g. Python and Jax/pyTorch
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selection criteria Solid theoretical background in robot perception and navigation. Deep foundation in modern machine learning. Solid programming skills in C++ and Python. Experience with ROS is a plus
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for the position. Preferred selection criteria Solid theoretical background in robot perception and navigation. Deep foundation in modern machine learning. Solid programming skills in C++ and Python. Experience with
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programming languages such as Python, R, or similar. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree in Operations Research, Computer Science, Mathematics
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learning, deep learning, and/or computer vision; Experience in programming. Python is a must, lower-level GPU programming experience is a bonus; Strong grasp on the English language; Eager to collaborate and
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normative modelling is an advantage. Programming skills (Python, C/C++) and experience with MRI morphometry are desirable. Furthermore, the applicant should be able to work both independently and in a team