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Field
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, for example in Python, C++, and an interest in further developing these skills, the ability to work independently and in a structured manner; good collaboration skills, good oral and written communication
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notebooks, Python or similar, are merits. About the employment The employment is a temporary position of 2 years according to central collective agreement, with the possibility of an extension of up to 1 year
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in computational fluid dynamics Experience in computer programming, in particular Python and Matlab, and in CAD and CAE tools Ability to work independently and also to enjoy collaborating with others
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field, such as environmental science, economics, sustainability science, or a closely related field. Strong quantitative skills: modelling, data analysis, and scientific computing (e.g. R, Python). Strong
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in additive manufacturing (3D printing), prototyping, and assembly of robotic or mechatronic systems·. Good programming skills in MATLAB and/or Python. Experience in the integration and control
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to organic synthesis and properties of organic molecules, is an advantage. good knowledge of data curation and plotting, electronic laboratory notebooks, Python or similar, are merits. excellent grades from
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, optimization, or related fields. Proficiency in scientific programming (e.g., Python, Julia, or C++) and experience implementing optimization algorithms. Proven ability to work both independently and in
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. Documented research experience in modern deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning
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models and/or probabilistic modelling, and excellent programming skills in Python and a modern deep learning framework (e.g., PyTorch or JAX) are required. Excellent skills in spoken and written English
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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale