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. Electrical Engineering) strong mathematical understanding experience in programming, preferably in Python prior experience in related topics, such as machine learning, optimization, or privacy Furthermore
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Engineering, Physics or a related technical field Good competence in Modelling and Simulation (Dymola/Modelica, gPROMS, AVEVA PS, or similar) Good competence in programming (Python) Good competence in
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relevant experience in the field, ideally with a PhD Background knowledge in cancer genomics Proficiency in Bash scripting and R and experience with cloud computing (required) Proficiency in Python and Git
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
understanding of maths and physics experience in programming, preferably in Python prior experience in machine learning, computer vision and remote sensing and strong interest to apply these skills
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fields (genetics, genomics, bioengineering, applied mathematics) Obtained or will obtain a Master’s degree in the above fields (For biologists) Intermediate programming skills in R or Python and prior
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engineering, data science, or related fields Strong programming skills (especially in Python), and experience with simulation, modelling, data analysis, machine learning, and hardware control Solid
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, and the Digital Waters Flagship initiative (https://digitalwaters.fi/ ). This role also offers opportunities to participate in funding proposals, apply for personal research funding, and engage with