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statistical modeling and analysis of human performance data (reaction time, workload, situation awareness), including mixed-effects/multilevel models. Programming proficiency in Python, R, and/or MATLAB
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running data analysis from plant breeding programs. Ensuring compliance with data security standards and compatibility with R-based and/or Python analysis tools and Shiny apps to maintain open-source and
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, or (applied) physics. Excellent lab-experiences Advanced mathematical, analytical skills, and programming skills, e.g., in Python. A keen interest in interdisciplinary research. An excellent command of English
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/computational biology or a related field. Very strong commitment to rigor and scientific integrity. Proficiency in a major programming language used for data analysis, such as R or Python. Experience with single
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scripting language (e.g., Python). ● Record of managing and analyzing large-scale genomics or population genetics datasets. ● Demonstrated ability and willingness to work both independently and
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methods; developing and maintaining data analysis tools and processing pipelines in Python; helping with proposal preparation; preparing manuscripts for publication in peer-reviewed journals; and
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/opioid signaling. Quantitative and data-analysis skills (e.g., R, Python) and experience with genomics or imaging pipelines. About the Department The Department of Dermatology is committed to providing
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methods for audio data. A publication record in ML applied to bioacoustics is a bonus; Good programming skills in Python. Familiarity with ML frameworks (PyTorch, Tensorfiow, Jax) is a bonus; Demonstrated
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skills, and proficiency in machine learning frameworks such as Python, C/C++, TensorFlow, and PyTorch. 4. Hands-on experience with ultrasound systems, particularly Verasonics or similar platforms is
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candidate holds a Ph.D. in Chemical Engineering (or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB