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Sentinel-1/2 time series. Strong proficiency in Python for geospatial data analysis and machine learning (e.g. XGBoost), including model interpretation techniques (e.g. SHAP). Very good oral and written
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/assignment relevant to the subject area. Doctoral degree should be in bioinformatics, computer science, neuroscience, genome biology, molecular biology, biomedicine, genetics, or a related field. For
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or glia) Experience with microglia biology or neuroimmune interactions Behavioral experiments Solid data analysis skills (e.g., MATLAB or Python for calcium imaging data) FELASA B certification to
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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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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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/ Careers / Postdoctoral Fellow in High-throughput Biophysics The Department of Biochemistry and Biophysics. SciLifeLab ( SciLifeLab ) is a national center for molecular biosciences with focus on health
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doctoral degree can have been completed earlier. Additional requirements: Very good oral and written proficiency in English. Documented proficiency in computer programming. Track record of preparing and
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Economics Center together with Lund University. The department has just over 65 employees, of whom about 17 are doctoral students. The position will be placed within the research group Decision-Making and
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failure. The postdoctoral fellow will join a collaborative and interdisciplinary research environment with expertise spanning political science, criminology, law, computer science, environmental economics