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a solid background in bioinformatics, statistics and computational biology, good expertise in statistical and bioinformatics software, and an ability to work in a multidisciplinary research
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the synthesis of functional nanoscale materials and devices for biomedicine using flame aerosol technology. The focus of the research program lies on studying the physicochemical properties of materials made by
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, learned image acquisition or reconstruction, or computer vision. Solid and documented experience from scientific neural network implementations and programming including libraries such as TensorFlow
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. Qualification Strong foundation in computational biology/computer science and developmental/molecular neuroscience with a PhD in a relevant field. Proficiency in programming (e.g. with R and Python). Expertise in
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Biophysics at the Karolinska Institutet (KI). The lab is currently a diverse team of physicists, biologists, chemists and computational biologists. We offer a stimulating scientific environment and a top
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earlier. Qualifications A Ph.D. in Epidemiology, Computational Biology, Bioinformatics, Statistics, Computer Science, or a closely related field. Solid experience in statistical analysis and programming
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(Frommelt and Fossati et al, 2024, Nat Methods). The team employs an integrative and collaborative methodology, maintaining close partnerships with computational and experimental units at KI, Science for Life
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professors, and 65 PhD students. Research Group The Silberberg lab uses electrophysiological, morphological, optical, and computational methods to study neural circuits in the neocortex and basal-ganglia
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. Good experience in molecular biology, pharmacology, and animal behavioral tests is required. The candidate should possess FELASA-certified knowledge and skills. In addition, candidates most have
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correspond to a Swedish doctorate or higher. Qualifications: We seek a highly motivated researcher with competence in computational biology. The candidate should have a collaborative approach to research, and