138 python-"Multiple"-"U"-"Washington-University-in-St"-"SciLifeLab" Postdoctoral positions
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Planck Society. The Campus Martinsried hosts multiple academic institutions and numerous biotech companies. Munich stands out as one of Europe's premier hubs for life scientists, offering an exceptional
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depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here
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experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and deployment
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research fellow position. The successful candidate for this position will work with Drs. Kathryn Colborn and Elizabeth Juarez-Colunga. The selected candidate will benefit from and contribute to multiple
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actively contribute to the WeForming and EnerTEF projects. WeForming and EnerTEF propose developing automatized and intelligent solution for operating active distributed grids with multiple active asset6s
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background in human or monkey electrophysiology. Studies will include simultaneous recordings and stimulation from multiple, interconnected brain regions. The researcher will gain experience with the use
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Cognitive Neurology Lab Dr. Wessel’s lab is joint between the Departments of Psychological and Brain Sciences and the Department of Neurology at the University of Iowa. It is equipped with multiple EEG and
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, especially in the field of optoelectronics; Experience in programming languages such as C++, Python, LabVIEW, IGOR, or MATLAB for data analysis and algorithm development; -Experience with simultaneously
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such as python, as well as wet lab skills for handling and producing protein, and performing biophysical assays to study phase separation. Find out more about our group here: https
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will work on multiple projects funded by NIH/NHGRI. The objective of the position is to develop novel statistical methods and computer software and analyze large scale biological data from biobanks