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to work at the intersection of state of the art computer science and cutting edge astrophysics. The engineers will design and build analysis frameworks that run on the cloud or high-performance computing
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microscopy and electron microprobe analysis. This work aims to identify mineralogical and chemical signatures associated with the earliest stages of planetesimal differentiation. The researcher will also be
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Biospectroscopy for the Bioimaging research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus for Precision Medicine”, with focus
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samples Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc. or a degree in a natural
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spectrometry maintenance, sample preparation and analysis workflows. The Mass Spectrometry and Proteomics Specialist will work with Prof. John LaCava and his lab members, coordinate national and international
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chromatography-mass spectrometry (LC-MS) platforms in the clinical proteomics of biological samples. Processing of proteomic data obtained by LC-MS analysis: from processing of MS/MS spectra to functional
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, quantitative analysis, performing medium-scale microscopy experiments, Python or Matlab programming, synthesizing information from the published literature, and use and development of machine learning algorithms
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processes and food technologies, with a focus on the qualitative and functional characterisation of wine and agro-industrial products. Activities integrate advanced instrumental chemical analysis, sensory
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=27596 Postdoc – Computational Functional Neuro-oncology (m/f/d) Stellenanzeige merken Stellenanzeige
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 10 hours ago
function. This role involves developing computational models, connectome analyses, and theoretical approaches using published and ongoing neuroscience datasets. The associates will collaborate with