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. Experience with finite-element methods tools such as COMSOL is highly desirable. 4, Proficiency in scientific programming and data analysis using Python, MATLAB, C++, or related programming languages. 5
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, or equivalent) conferred by the start date. 2. Proficiency in R/Python. 3. Experience with spatial proteomic/transcriptomic data analysis. 4. Growth mindset and motivation to advance our understanding of breast
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previous experience in theoretical quantum optics and quantum information, as well as strong skills in writing scientific papers. You are proficient in at least one common programming language such as Python
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techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is
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, epigenomics, or transcriptomics Basic experience in computational biology or familiarity with bioinformatics tools (e.g., data analysis pipelines, R/Python, or multi-omic data interpretation) is advantageous
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required. Preferred Qualifications Strong coding experience using R and Python for data analysis. Expertise in the biological interpretation of multi-omics datasets (RNA-seq, proteomics, metabolomics, ChIP
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
MATLAB and/or Python. Excellent problem-solving skills and enthusiasm for interdisciplinary research. Excellent written and spoken English. Desirable qualifications Experience with optoacoustics
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in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning
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Design (CAD), biomedical imaging systems. Programming experience in MATLAB and/or Python. Excellent problem-solving skills and enthusiasm for interdisciplinary research. Excellent written and spoken
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | about 2 months ago
one of: Python, R, C/C++, or Perl; proficient with Unix/Linux. •Experience with deep learning, statistical modeling, or AI applications to biological data. •Familiarity with transcriptomic technologies