896 machine-learning "https:" "https:" "https:" "https:" "U.S" "U.S" positions in Sweden
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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difference? Join us and contribute to better health for all! Where to apply Website https://ki.varbi.com/en/what:job/jobID:913917/type:job/where:39/apply:1 Requirements Additional Information Work Location(s
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(https://ki.se/en/mbb/research-division-of-medical-systems-bioengineering ) at the department of Medical Biochemistry and Biophysics. In our group we are interested in shedding light on central molecular
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addition to conventional software, the scope includes engineering of AI enabled systems (primarily ML and LLM), and thus MLOps (Machine Learning Operations), datacentric AI, and legal and ethical aspects of AI
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on the long term globally distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396 ). The employment is fulltime for three years. The deadline
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university and public authority. Learn more about our benefits and what it's like to work and grow at KTH Type of employment: Temporary position Contract type: Full time First day of employment: 2026-08-17
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university and public authority. Learn more about our benefits and what it's like to work and grow at KTH Type of employment: Temporary position Contract type: Full time First day of employment: 2026-08-17
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, https://avengers-project.eu) and IM4CA (https://im4ca.eu). Work duties The main duties involved in a post-doctoral posistion is to conduct research. Teaching may also be included, but up to no more than
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strong communication skills and the ability to collaborate effectively with colleagues across all levels, both within and outside the organisation Are a self-starter with a passion for learning new
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from Hi-C and Capture Hi-C experiments. Have experience developing graphical user interfaces (GUIs). Candidates with knowledge or experience in machine learning methods will be prioritized. Successful