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analytical understanding; Proficiency in programming in Python and deep learning frameworks such as PyTorch and TensorFlow; Excellent communication skills in oral and written English; Creativity, thoroughness
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publications in relevant research area. Candidates must be fluent in spoken and written English and highly motivated. Candidates are expected to pursue and plan research independently, but also to function in a
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to build sequence dependent predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming
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to teach in Swedish within three years, and if necessary, a language plan will be created in connection with the appointment as support. Eligibility Those eligible to be employed as associate professor
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
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and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data
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) programme and research school Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures
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-capacity computational resources, extensive biobanks and career support programs . In this tenure track position as Associate Senior Lecturer (DDLS Fellow) we are addressing outstanding junior scientists
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, especially Bioinformatics, program the applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b
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interest in evolutionary genetics, excellent analytical skills, and the ability to work both independently and as part of a team. Excellent written and verbal communication skills in English are essential