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Laboratory of Organic Electronics (LOE) at Linköping University, a world-renowned center for groundbreaking research in bioelectronics, energy devices, printed electronics, and nanooptics using organic
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collaborative in nature. A strong publication record in reputable peer-reviewed journals is highly desirable. Proficiency in programming, particularly in R, Python, or other relevant languages, is
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in Python programming for geospatial data processing, modeling, and mining. Publications in high-quality international peer-reviewed journals within a relevant field, especially experience in
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modelling, signal processing, machine learning, statistical inference, scientific computing, or related data-driven methods, including programming in Python or similar high-level languages Scientific
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battery manufacturing is desirable. Prior experience in laboratory and project management is also advantageous. Programming skills or acquaintance with applying Python packages, statistical data analysis
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-assembled structure determination Documented expertise in data reduction and analysis using scripting (ideally python-based) Experience carrying out SAXS/WAXS experiments at large scale facilities
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with quantitative analysis and programming in R, Python or similar languages, and/or high-performance or batch-computing workflows Fieldwork experience in tropical forests and under remote or
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doctoral programme in question, the following are also required: Proven experience working in developing Linux AND Python-based computational workflows for advanced scientific data analysis and
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programming environments, especially R or Python; the applicant’s ideas concerning how the OCCPOL data could be developed and used; and motivation to participate actively in a collaborative research project and
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interdisciplinary research center at Uppsala University, dedicated to the advancement of knowledge in the field of Holocaust and Genocide Studies through research and education. This position is linked