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Field
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-the-loop (HiL) testing and coding skills using Python or JAVA programming is an advantage. Some teaching activities within the research area and collaboration with our team for translating research ideas
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tools (STATA, R, or Python). Assist in literature reviews and summarising academic research. Contribute to writing research papers and policy reports. Participate in meetings with collaborators and
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highly collaborative environment Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus Strategic thinkers with
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proficiency in: Linux. git, remote computing, containerization technology. Ideally, candidates should have experience with Python, and knowledge in modern Data Science methods. Knowledge of neuroimaging
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and statistical data analysis Excellent written and spoken English skills Experience with TMS and proficiency in relevant software (e.g., MATLAB, R, Python, or SPSS) is an advantage Key responsibilities
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environment Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus Strategic thinkers with demonstrated interests in strategic
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programming skills in Python and/or C++ Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments Hands-on experience applying deep learning
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within a Unix/Linux HPC or cloud computing environment Proficiency in programming (e.g. using Linux/Python and R), command-line applications, and programming standards such as version control High level
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but not mandatory). A strong interest in materials simulation, quantum materials, and condensed matter physics. Experience with Python. Fluency in English is required. Finnish language is not required
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and phylogenetic comparative analyses using R or Python Present research findings at scientific meetings and symposia Prepare and contribute to the publication of results in peer-reviewed journals Your