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competencies in molecular design and synthesis, synthesis of organic and inorganic materials, chemical analysis and structure and morphology analysis, both in solution and solid state. We teach in the core
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. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components. The aim is that fault diagnosis
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applications, including development and validation of machine-learning and statistical models for disease prediction, prognosis, and therapeutic response. Proficient in R, SAS, and other bioinformatic tools
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engineering or a related discipline Strong programming skills (e.g., Python, R) Experience with data processing and analysis Knowledge of statistics, or a strong willingness to learn A genuine interest in
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Learning and Control Laboratory , an interdisciplinary research group doing basic and applied research at the intersection of cybersecurity, control theory, and machine learning. Our vision is to develop
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lecturer, with opportunities for further career advancement. You will receive five weeks of training in teaching and learning in higher education and get the opportunity to learn Swedish through
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image analysis and sensor technologies (e.g. RGB/NIR) for textile production, as well as using machine learning for process optimisation and performance prediction from fibre to finished product
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lab and/or field work in plankton ecology. Experience from analytical chemistry. Experience in optics and/or deep learning. Assessment criteria Selection for third-cycle studies is based
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2 Apr 2026 Job Information Organisation/Company Institutionen för kemi och molekylärbiologi Department Fakulteten för naturvetenskap och teknik Research Field Chemistry » Analytical chemistry
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which you may be promoted to a tenured position as a senior lecturer, with opportunities for further career advancement You will receive five weeks of training in teaching and learning in higher education