73 computer-science-programming-languages-"U.S"-"U" positions at Heidelberg University
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for Mass-Spectrometry Imaging / Spatial Metabolomics (f/m/d) This position is funded by the MULTI-SPACE alliance of the Health & Life Science Alliance Heidelberg & Mannheim, supporting a joint Mass
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should be willing to teach in a variety of formats, including in-person, hybrid, and online, and at varied class times that may include evenings according to program needs. Applications will be accepted
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The Assistant Wrestling Coach provides administrative, instructional, and recruiting support services to the wrestling program under the direction and supervision of the Head Coach of Wrestling
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Provides administrative, instructional, and recruiting support services to an athletic program while ensuring adherence to the highest professional standards, ethical behavior, and in accordance
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The Climate-Life nexus initiative at Heidelberg University brings researchers together social science and health with natural science to conduct transdisciplinary research in the intersection
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literacy with at least basic programming skills (R, Python). Analytical mindset, with a keen interest in advancing proteomic methodologies Knowledge of cancer biology is an advantage We offer Cutting-edge
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energy to the campus and town. Education and Professional Experience: Bachelor’s Degree – computer science, technology, or a related field 3 years of IT work experience Experience in a Student system
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to supervise PhD, Master and Dr. med (thesis as part of medical studies in Germany) students. The fellow will also have the opportunity to teach as part of the institute’s Masters and doctoral program but will
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of the MaReCuM model study program is also expected. Prerequisites for application are a completed university degree in medicine, a qualified doctorate, and successful teaching experience. In accordance with
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degree in (analytical) chemistry, biochemistry, or a related discipline Hands-on experience in mass spectrometry-based proteomics (e.g. DDA, DIA, PRM) Experience with proteomic data analysis Computer