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We are looking for a highly motivated neuroscientist or engineer as a Postdoctoral Researcher to join the Liebscher Lab (https://sysneuro.i-med.ac.at), where we investigate how neural circuit
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, calibration, reproducibility) Implementing and maintaining Python-based data processing and analysis pipelines Quantitative interpretation of nanoscale microstructure data in deformation–precipitation
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 8 days ago
LevelPhD or equivalent Specific Requirements PhD degree in computer science or a related field; programming skills in Python; experience with data visualization and human-centered computing; experience with
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research skills and experience in economics and agent-based modelling, and an interest in empirical/computational/algorithmic game theory You are proficient in relevant programming languages such as Python
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completed, please submit a short statement by the supervisor concerning progress) excellent coding skills (Python, Julia, C++, etc.) excellent communication skills excellent English skills We Offer
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of Python and experience with LINUX OS are mandatory. Experience with refraction seismology and inverse problems are a strong plus. Employment requirements: The successful candidate will have a Master degree
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, quantitative image analysis) Computational skills in data processing and statistical analysis; experience with sc/snRNA-seq, NGS, metabolomics, proteomics datasets (R/Python) is highly desirable Demonstrated
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gases, radionuclides, or air pollutants. Our future research strategy also includes studies of the higher atmosphere. To learn more about our team, we invite you to visit our website: https
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skills, preferably in Python, in at least one deep learning framework, like PyTorch or TensorFlow. Solid communication and dissemination skills. Fluency in English (both written and spoken). Desired skills
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, radionuclides, or air pollutants. Our future research strategy also includes studies of the higher atmosphere. To learn more about our team, we invite you to visit our website: https://flexteam.univie.ac.at