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of decay radiation for diagnosis or treatment. A solid background in scientific computing, including proficiency in Python programming. Fluent oral and written communication skills in English. Doctoral
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Python programming skills. Excellent skills in written and oral English. The candidate's research proposal must be closely connected to the call and the research of MAI. Personal suitability and motivation
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., Python/Julia/C++), including experience with scientific computing tools Ability to communicate research results clearly in written and oral English Desired qualifications: Experience with reinforcement
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sources and radioanalytical techniques. • Experience with numerical modelling (e.g. PHREEQC or COMSOL) and/or with scientific programming (e.g. R, Python, MATLAB or similar) is an advantage. • Experience in
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, Bioinformatics, Agricultural Engineering, or a related field. Knowledge of plant physiology. Strong programming skills in Python and/or R. Excellent scientific writing and communication skills in English. Desired
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to demonstrate skills on Data Analytics and Machine Learning, in particular on distributed ML. Must have very good programming competence in Python, Java, C/C++ or equivalent Fluent oral and written communication
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Documented Python programming skills Desired qualifications: Experience with change point detection and anomaly detection Relevant experience with data from the maritime sector Language requirement: Good oral
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master's thesis for assessment prior to the application deadline. It is a condition of employment that the master's degree has been awarded. Hands-on experience with numerical simulations (e.g., Python
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computing (e.g., Python, Matlab, C++ or similar) Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Enjoy working both independently and as part of
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modeling Structural dynamics analysis Rules and design guidelines for structural engineering Blast, impact or shock loading Programming and scientific computing (e.g., Python, Matlab, C++ or similar