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, or computational biology Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch or TensorFlow, and
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of the positions will be based on levels 5 of the demands level table for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component
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, available from September 1, 2025, or a later time point upon agreement, with the possibility of extension until August 31, 2029. A six-month trial period will be applied. The salary will be based on level 5
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based on level 5 of the job requirement scheme for teaching and research staff in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal
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skills, knowledge, and abilities, and is based on the University of Helsinki salary system. The starting salary will be ca. 3,600 – 3,900 euros/month, depending on the appointee’s qualifications and
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on the applicant's level of skills, knowledge, and abilities and is based on the university salary system. The starting salary will be ca. 3,600 – 3,900 euros/month, depending on the appointee’s qualifications and
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research environment with excellent opportunities to build up your professional expertise and scientific network. The salary of the successful candidate will be based on level 5 of the demands level chart
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environment with excellent opportunities to build up your professional expertise and scientific network. The salary of the successful candidate will be based on level 5 of the demands level chart for teaching
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offer you a highly international research environment with excellent opportunities to build up your professional expertise and scientific network. The salary of the successful candidate will be based
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will shortlist top candidates based on all the submitted applications. For each project, the collaborating PIs will plan online lab visits and meetings with top candidates and help them prepare for