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multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience
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equivalent to a two-year master's degree. Additional qualifications include: Good programming skills in Python, Julia, R or similar, and familiarity with C, C# or C++. Curiosity and interest in future urban
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skills relevant to modelling, simulation, and data analysis (e.g. MATLAB, Python) Essential requirements: Excellent written and oral communication skills in English Strong interpersonal and collaboration
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spectrometry, and untargeted data science workflows. Proficiency in chemometric methods and/or python programming will be an advantage. Candidates are expected to be enthusiastic and adaptable to working in
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or optimization. Proven experience with programming and data analysis tools. Fluency in Python, including experience writing data analysis scripts and model training code. Experience with scientific computing and
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, electrical engineering, communication engineering, computer science, or a related field. Documented experience with deep learning techniques (e.g., CNNs, Transformers) Strong programming skills in Python and
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of the following qualifications: Extensive experience in programming using Python, R, or other languages Research experience in greenhouse gases, or ecological experiments Insight into global
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possible. It is strictly required that you have experience with: Scientific programming, preferably in python and/or MATLAB and/or C++ Derivation and implementation of finite element methods (FEM) in code
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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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, or ensemble models (e.g., XGboost). Proficiency in programming languages commonly used in data analysis, such as R, Python, or C++ (or similar). Strong communication, collaboration, and presentation skills