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Title: Associate or Senior Editor, Nature Neuroscience Location(s): New York or Shanghai – Hybrid working model Application Deadline: August 18th About Springer Nature Springer Nature is one
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QGG Aarhus University seeks a Tenure Track Assistant Professor in Quantitative Genetics of sustai...
genomic information to improve genomic prediction models. The selected candidate will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise Master's, PhD students
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structure, function, and plasticity; neurotransmitter and neuropeptide signaling; and neuron-glia-immune interactions. Both basic- and disease-related research are welcome, as are a variety of model systems
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background checks may be conducted on qualified candidates for the position. The DTU National Food Institute DTU National Food Institute conducts research into sustainable and value-creating solutions within
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, integrating results for advanced statistical modeling and visualization. Creating dynamic visualizations including Plotly, ggplot2, RColorBrewer, and Leaflet to enhance data interpretation. Generating and
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Title: Associate or Senior Editor, Nature Computational Science Organization: Nature Portfolio Location: New York, New Jersey, Shanghai or Beijing - Hybrid Working Model Closing date: August 24th
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modelling is desired Excellent publication and 3rd party funding records Capacity for interdisciplinary and international teamwork and excellent communication skills Experience in the supervision of students
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– Hybrid working model Deadline: August 5th, 2025 About Springer Nature Group Springer Nature opens the doors to discovery for researchers, educators, clinicians and other professionals. Every day, around
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organismal systems across diverse biological contexts. Using a blend of cutting-edge experimental and computational approaches, we strive to decode and model complex biological processes—from single-cell
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bold and important questions in relevant thematic areas, including but not restricted to: integrative structural biology, whole-cell modelling and/or ML/AI-driven approaches to model macromolecular