89 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Aarhus University
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Natural Sciences Tenure Track Aarhus University offers talented scientists from around the world attractive career perspectives via the Natural Sciences Tenure Track Programme. Highly qualified
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in biology, ecology, plant physiology or similar Collaborative skills and ability
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of open data and open science. Your profile The ideal candidate should have: A PhD in environmental engineering, ecology, environmental science, biology, data science, computer science, or a closely related
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candidate who has A PhD in plant science, agroecology, microbiology, environmental sciences, molecular/chemical ecology, or similar Collaborative skills and ability to demonstrate commitment in teams
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computational scientists. The position offers a unique opportunity to work at the interface of landscape ecology, biodiversity science, climate mitigation, and sustainable agriculture, contributing directly to
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candidate who has A PhD in microbial ecology, environmental microbiology or similar Research experience in molecular biology, metagenomics and biogeochemistry Collaborative skills and ability to demonstrate
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, proteins and DNA origami constructs, and computational procedures for data analysis. The project is a collaboration between the single molecule biophysics and chemistry group at iNANO/Department
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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, physics, computer science, applied mathematics, or similar Required competences Strong background in image processing and analysis, especially Deformable image registration and 3D segmentation methods