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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
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-cycle aspects is a big asset. In this work, you also need programming skills (e.g. Python, Julia) to merge concepts of chemical engineering, operations research and computer science, as you may also need
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of physical systems AI-based condition monitoring Reinforcement learning Programming skills are required, with Python experience preferred. Theoretical understanding and hands-on experience with electric
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devices Good understanding of superconductivity and topological materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python, or equivalent At least a working
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electron gases and semiconducting devices Good understanding of superconductivity and energy bands in materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python
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both in health and disease. The suitable candidate would need to have either degree or extensive experience in computational sciences. OUR RESEARCH Our group’s web page: https://www.helsinki.fi/en