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will also be expected to spend time at the University of Heidelberg, particularly for conducting biochemical approaches. He/she will use standard software, and if necessary, software developed in
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present scientific results. # Software and tools - Proficiency in standard computer tools. - Experience with mass spectrometry data processing and analysis software. # Personal skills - Autonomy, rigor, and
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acquisition techniques (EMG, respiration, SpO2). - Compliance with ethical and regulatory standards for animal experimentation. ✔ Desired skills in software development - Experience with Labchart++, Matlab
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hold a Ph.D. in materials physics or scientific imaging, with proven experience in spectral imaging techniques (e.g., software such as Python, R, HyperSpy) and/or synchrotron techniques (luminescence, UV
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(PIT-tags, hydrophones, geophones, etc.). 2) Modeling and data analysis: - Proficiency in GIS tools (QGIS, ArcGIS) and hydraulic modeling software (HEC-RAS, TELEMAC, Mike). - Advanced programming (Python
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with 3D cell culture, organoids or tissue engineering will be considered a strong advantage. Experience with image analysis software (ImageJ/Fiji) and scientific computing tools (Python, R or equivalent
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involve selecting various event topologies to constrain background and perform detailed study of double-beta decays. GEANT4-based simulations will be used with the software FALAISE developed by SuperNEMO
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: In-depth mastery of techniques in structural and molecular biology, biochemistry, cell biology, and immunology is essential. Proficiency in using computer tools and software dedicated to data
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will benefit from the unit's documentary, computing and software resources, as well as the computing facilities mobilised within the framework of the project, according to the arrangements defined by
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- 4 Additional Information Eligibility criteria - Evolutionary genomics analyses on large NGS datasets -Knowledge on coding (C ,C++, or java), script writing (python, perl), R software and shell Unix