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., Pettersson, H., Behrens, A., Männik A., 2018. Comparing a 41-year model hindcast with decades of wave measurements from the Baltic Sea. Ocean Engineering, 152, 57–71. https://doi.org/10.1016/j.oceaneng
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sequencing instruments into microscopes! Your mission You will join our team, a leading group in the field of DNA nanotechnology specialized in creating molecular tools for life-science research (http
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. Ali Bashashati). Responsibilities Designs and implements machine learning models for bulk and single-cell genomics and transcriptomics. Analyzes spatial transcriptomic datasets to uncover tissue
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, champ électrique, densité des espèces réactives) reste difficile, puisque les mesures doivent allier bonnes résolutions spatiale et temporelle tout en étant non intrusives. Les diagnostics optiques
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, champ électrique, densité des espèces réactives) reste difficile, puisque les mesures doivent allier bonnes résolutions spatiale et temporelle tout en étant non intrusives. Les diagnostics optiques
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larger spatial scales using different data sets. The postdoctoral fellow will be responsible for analyzing the data sets; developing, interpreting, and applying the two statistical models; and submitting
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original
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) Scale up forest dynamics predictions from stand to landscape level. As the PhorEau model cannot be run in a fully spatially explicit manner at large spatial scales, the PhD candidate will interpolate
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. To perform successfully in the position the appointee should have research and/or teaching experience in at least two of the following disciplines: spatial statistics and modelling spatial data-based
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using deep learning or causal learning methods. Candidates must have solid experience with large spatial and temporal datasets, large model manipulation, and HPC. The candidate must also have experience