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. -Machine learning code generation for autonomous translation of payload data semantics. -Dictionary learning and algorithms for translation between major data modeling languages. -Model-based System
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intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for
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group The Department of Molecular Medicine and Surgery (MMK) and the research groups of Vascular Surgery and Clinical Physiology are looking for a curious and highly motivated Ph.D. student to join Dr
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deems relevant for the doctoral position. Good knowledge of English in both speech and writing is a requirement. The applicant must be able to teach in English. Additional qualifications A strong
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interdisciplinary group; good analytical and experimental skills; an excellent ability to work independently toward the goals expressed in the project plan; good oral and written English skills. Furthermore, as the
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with the Julia programming language is advantageous Terms and conditions The doctoral student will be employed on a doctoral studentship maximum 4 years full-time. Application process Submit your
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into how algorithmic systems influence the circulation of information and disinformation across digital platforms, and how such processes affect perceptions of credibility, truth, and democratic
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variability in risk factor susceptibility, treatment response, disease pathogenesis, and clinical diagnosis (biostatistics, machine/deep learning), ii) Investigating causal processes and disease mechanisms
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are essential. Excellent work ethic and commitment to the job. Excellent command of English, both written and verbal. Interest in Swedish language and culture is welcome. During the assessment, emphasis will be
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field. You should also have a strong interest in the molecular details of enzyme catalysis and, specifically, photosynthetic water oxidation. Very good skills in English, both written and spoken is a