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Field
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CAD software like KiCad (or equivalent); - Confirmed programming skills, particularly in C and C++, as well as data analysis and processing using Python-based tools; - Ability to work in an
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of surface chemistry and catalysis, DFT and ML. She/he must be familiar with VSAP software and Python. She/he must be rigorous, curious and able to communicate in English. She/he must be proactive in
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: Python (including PyTorch and TensorFlow), Julia (including Flux and CUDA), C++. Preferred Qualifications: Experience in the development and maintenance of scientific computing software suites. Experience
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will lead the programming of R/Python packages for the analysis as well as adapt existing and develop new research methodologies and training materials. You will report research findings in the form
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in aberration-corrected STEM and EELS. Background in Python or MatLab. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate
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expertise in NGS data analysis (WES, RNA-seq). - Experience with R and/or Python for statistical and bioinformatic analyses. - Experience in integrative multi-omics analysis. - Knowledge of biostatistics and
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QUALIFICATIONS: PhD (or equivalent) in biology, applied mathematics, statistics, computer science or related field. A proven track-record of peer reviewed publications, and programming experience in Python or R
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, knowledge and skills in using advanced statistical methods (e.g., HLM, SEM, non-linear dynamical systems) and programming skills (e.g., R, Python, MATLAB) as well as data mining techniques for analyzing
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, Stata, Python, R). Conduct cross-city comparative research Map and analyse the geographical distribution of eviction patterns within and across cities; Examine similarities and differences in urban
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, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2, PyMOL, Chimera, etc. Interest in