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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
A postdoctoral position (2 year) is open at Aarhus University, Department of Environmental Science, Section for Environmental Chemistry and Toxicology ( www.envs.au.dk ). The position is in
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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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Work group: Gerics - Climate Service Center Area of research: Scientific / postdoctoral posts Starting date: 16.06.2025 Job description: PostDoc Position - Resilience enhancement through NBS
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and biomedical research. With approximately 30 scientific departments and research groups and about 750 employees, the MPIB is one of the largest institutes of the Max Planck Society. The Campus
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to your scientific expertise to work within the German Research Foundation (DFG) funded project “Multi-channel transcranial current stimulation (mc-tCS): a novel approach to modulate smooth pursuit eye
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we bridge concepts from molecular biology, computational data science, mechanobiology, pharmacology and translational medicine. Trainees will have access to the deep technical expertise in the lab and
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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, Comparative Genomics, Transposon Biology, Cell biology, or Related Field Applicants will have a track-record of scientific output including peer-reviewed publications, or if a recent graduate pre-prints
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and