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research group is associated with the newly established Center of Excellence in Neutron-Star Physics (https://neutronstars.fi ), providing us long-term funding, strong connections to related Finnish and
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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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, 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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development (https://www.helsinki.fi/en/about-us/careers ). Required qualifications PhD (or near completion) in evolutionary biology, ecology, genetics, or related fields. Expertise in molecular genetics
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pension fund, a generous holiday package, sports facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). Required qualifications PhD (or near completion
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, gradient coil design, etc. programming skills with MATLAB, C/C++ or Python skills and experience in manufacturing methods, such as 3-D printing experience in MRI image reconstruction (nonuniform FFT
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(NVS), particularly in epilepsy. designing, implementing, and validating numerical solvers using MATLAB and Python, leveraging realistic brain geometries derived from MRI. integrating multimodal
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require the following: Strong programming skills (Python, C++, JavaScript frameworks etc.) Knowledge of digital twin technologies and simulation platforms Knowledge of Deep Reinforcement Learning frameworks