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iNANO at Aarhus University is seeking a postdoctoral fellow for the Novo Nordisk Foundation CO2 R...
Do you have a passion and vision for developing new platforms for scalable microbial electrosynthesis of CO2 to methane? Come and be part of the team of Profs. Alfred Spormann at the NNF CO2 Research Center to unlock the power of science and technology! Starting date and duration of...
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to network modelling, network theory and/or network meta-analyses. Fluency in programming as needed for network analyses (e.g., R/python) Strong analytical, organisational, and record-keeping skills
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relevant field. In-depth knowledge and experience with advanced data processing and statistical analysis in R; knowledge and experience in spatial modelling, machine learning, or computational methods
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/or R Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn) Excellent problem-solving, organizational, and communication skills Demonstrated ability to work both
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statistical analyses (e.g. R, Python) Fieldwork experience in ecological or environmental sampling Scientific publishing and project coordination Who we are The Department of Ecoscience is engaged in research
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. Experience with omics approaches. Working with human pathogenic bacteria. Molecular studies of AMR mechanisms. Data-analysis skills (R-Studio or similar). Knowledge of or interest in natural product chemistry
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languages such as Python or R. Experience with machine learning, systems biology, or network modeling approaches. Previous expertise in human cardiometabolic or complex diseases, with domain expertise in but
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: Extensive experience in programming using Python, R, or other languages Research experience in remote sensing of cover crop, crop type classification, and crop aboveground biomass quantification Insight
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, AAAI, ECAI, and TMLR. The postdoc will join the PSAI research group and will be supervised by Associate Professor Andrés R. Masegosa (andresmasegosa.github.io ), methodological PI of the DK-Future
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to target leading venues such as NeurIPS, ICML, ICLR, AISTATS, AAAI, ECAI, and TMLR. The postdoc will join the PSAI research group and will be supervised by Associate Professor Andrés R. Masegosa