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Field
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; Experienced with writing scientific manuscripts and excellent academic writing skills; Excellent programming skills (preferably in Python); Interested in contributing to educational activities; Excellent
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; Experienced with writing scientific manuscripts and excellent academic writing skills; Excellent programming skills (preferably in Python); Interested in contributing to educational activities; Excellent
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, Computer Science, Mathematics, Physics, or related field; Strong interest in cardiovascular physiology and computational modeling; Programming experience (preferably MATLAB, Python, or similar); Enthusiasm
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. Python, PyTorch, TensorFlow). Enthusiasm for hands-on experimental work (e.g., mechatronics). Familiarity with polymers or other soft materials. Drive to tackle interdisciplinary challenges and communicate
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, materials science, physics or a related field. Experience in synthetic organic/materials chemistry. Experience with optics and imaging is highly appreciated. Basic programming skills (e.g. Python, PyTorch
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, energy-related datasets. Proficiency in Python, MATLAB, and/or Julia for modeling, simulation, and data analysis. Familiarity with GIS tools (e.g. QGIS), time-series databases (e.g. InfluxDB), and version
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, or modelling of socio-environmental systems. Proven programming skills in Python, R, or a comparable language. Interest in developing methodologies to assess localized climate hazards, exposure, and
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interest in neuro-behavioral sciences and a passion for behavioral signals. Demonstrable experience in advanced data analysis and data collection. Familiarity with machine learning and proficiency in Python
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skills (e.g., Python or other languages) and the ability to handle large datasets are an advantage. Applicants without these skills should have the motivation to develop them early on in the PhD. You have
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Biomedical Sciences, Microbiology, or related fields; experience with anaerobic bacterial culturing, mass spectrometry data analysis; experience with omics analyses and coding (e.g. python, R); experience with