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. Python, Julia, C++, R); experience with sequencing (NGS) data, geometry or graph algorithms, statistical inference or machine learning; error-correcting codes or information theory; molecular modelling
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, particularly Python Computer vision, artificial intelligence, and machine learning Industrial cyber security Proficiency in Swedish, both spoken and written More about requirements and the recruitment process in
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, Cybersecurity, AI, Machine Learning (ML), Data Science, or another closely related subject, no more than three years before the application deadline; has documented knowledge of AI and ML; has demonstrated
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to continual professional development to complete the required courses within two years of employment, or apply for validation of prior learning. Additional qualification requirements in accordance with
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, multi-omics analyses and systematic bioinformatics techniques is a strong advantage. Excellent programming skills (Python/R) and a solid training in AI or machine learning are highly preferred. A strong
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. Required qualifications: PhD in a field such as physics, systems biology, applied mathematics, machine learning, or related fields. Strong programming skills (e.g. Python) and experience with modern ML
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risk assessments, omics analyses and advanced statistical analyses and machine-learning techniques. Work duties and responsibilities The main task for a doctoral student is to devote yourself to your
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and Information Technology works broadly with research within cryptography, computer security, wireless and fixed networks. The division runs several research projects through different research
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predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You will
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Information Technology works broadly with research within Cryptography, Computer Security, Wireless and Fixed Networks. The security group within the Division has around 20 members. The main research directions