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Field
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profile PhD in physics, biophysics, chemistryor related disciplines obtained less than 3 years ago A strong background in data analysis is required Aptitudes in programming (Python) is an asset Experience
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in grant development (including methodological proof-of-concept work) and in writing first-author publications in high-impact journals. Where to apply Website https://www.academictransfer.com/en/jobs
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experience in quantitative methods, including automated content analyses and/or handling panel data Advanced analytical skills preferably using in R, Stata, or Python Excellent proficiency in English What do
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frameworks, e.g., Caffe, TensorFlow, PyTorch, and GPU-acceleration frameworks, e.g., CUDA will be a plus. Outstanding SW development and programming skills in C++, Python, ROS tools and libraries. Excellent
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, nuclear structure, neutrino physics, and fundamental interactions. The nuclear astrophysics part of the research is related to the newly established Centre of Excellence in Neutron-Star Physics (https
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Centre of Excellence in Neutron-Star Physics (https://neutronstars.fi ), funded by the Research Council of Finland. The CoE status provides us long-term funding, strong connections to related Finnish and
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of Excellence in Neutron-Star Physics (https://neutronstars.fi ), funded by the Research Council of Finland. The CoE status provides us long-term funding, strong connections to related Finnish and international
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research, integrating first-person reports with behavioural and neuroimaging data, developing MATLAB/Python pipelines for fMRI whole-brain models, preparing high-quality manuscripts and visualisations, and
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oral presentations at scientific meetings Preferred Qualifications: Experience with R, Python, or similar programming languages Prior work in translational or immuno-oncology research Knowledge, Skills
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manufacturing. It is meritorious to have previous experience in data analysis and processing with Python (or similar), preferably including documented experience with machine learning tools. It is meritorious