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Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with Lonza Cambridge, UK, are seeking a highly
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A postdoc position in the Torben Heick Jensen lab, Aarhus University, Denmark: Mammalian Nuclear ...
Biology and Innovation, Protein Science, Cellular Health, Intervention and Nutrition. There are currently 75 full time scientific staff and 95 PhD students. The department is responsible for two educations
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Communication, Singal Processing, Low Power Electronics, Wireless Sensing, Low-Power System Design, Machine Learning & Edge Inference, Underwater acoustic communication. Furthermore, you have a proven record of
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to modify their function in cellular models in tissue culture together with external collaborators. In addition: The lab has a focus on innovation in science and the project has an application oriented focus
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in machine learning for advanced peatland mapping, starting 01-12-2025 or as soon as possible
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
Empirical Software Engineering (EMSE). This position is funded by Innovation Fund Denmark Grand Solutions project “AI4SE1DK – Human-Centered Adoption of Artificial Intelligence for Software Engineering in
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). The successful candidate will contribute to the Nudge2Green research project, applying software development and AI methods to design digital nudging tools that promote sustainable consumer behavior in food choices
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in machine learning for advanced peatland mapping, starting 01-12-2025 or as soon as possible
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, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic
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the above-mentioned research areas (e.g. scp-MS, cell heterogeneity, computational proteomics, etc.) Foster national and international collaborations, both outside and within the university Teach in