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biology or a closely allied discipline along with experience in creating, writing, enhancing, and running code in R/Python, using and developing microfluidic devices and advanced imaging. You will have
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Bingen am Rhein, Rheinland Pfalz | Germany | about 13 hours ago
using MATLAB, Python, and R Perform statistical analyses of multimodal human datasets (neuroimaging, metabolic and cognitive measures) Contribute to study design, data interpretation, and manuscript
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proficiency in data analysis (with a preference for experience in advanced techniques, though it's not mandatory). Proficiency in programming (e.g., Python or MATLAB) is advantageous. Strong communication
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, statistics, and programming languages such as R, Matlab, or Python are highly desirable. Requirements: Candidates should have completed (or be completing) a doctoral degree in psychology or cognitive science
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reproducible research software and scalable data analysis pipelines in Python for machine learning and interpretability research. These tools will support systematic investigation of model behaviour and enable
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, environmental, demographic, or spatial data. Have experience in statistical analysis using R, Python, SPSS, Stata, or similar analytical tools. Have good organizational and communication skills and evidence of
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, computational method development, and scientific programming Proficiency in R and scripting languages such as Python or Perl in Unix/Linux environments Excellent written and verbal communication skills and the
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analysis using Python, MATLAB and/or LabVIEW. Integrate experimental and numerical findings to establish performance benchmarks, identify promising design directions and produce practical design guidelines
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Systems Biology, Bioinformatics, Biotechnology, Biochemistry, or a related field. Applicants should possess experience in metabolic modeling and have proficiency in Python or MATLAB. We value a mindset
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Conference Publications as the first author Expertise in deep learning, multimodal LLMs, and Vision-Language-Action models. Strong programming skills in Python, with significant experience in PyTorch. Hands