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Field
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Engineering, or related. Strong experience in ODE/PDE modeling and simulation (MATLAB, Python, or R). Experience withnumerical methods, optimization, parameter estimation, and sensitivity and uncertainty
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(Perl or Python, R, Linux tools, bash scripting) Experience in presenting at conferences Excellent publication record Strong motivation and dedication, scientific writing skills, problem-solving skills
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field Strong programming skills (Python) and experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Familiarity with satellite data and geophysical modeling. Interest in physically informed
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transcriptomics data using R/Python. Wet lab experience is beneficial but not essential. You have a strong enthusiasm for fundamental research and a scientific interest in the molecular genetics of immune cell
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Qualifications Ph.D. in Bioinformatics, Computational Biology, Systems Biology, or a related field Proven experience in the analysis of single-cell or spatial omics datasets Strong programming skills in Python and
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Python or MATLAB is considered mandatory, knowledge of Java is considered an asset Solid knowledge of transportation modelling, proved with indexed publications Experience with research projects and
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preferred; experience conducting original scientific research as well as publishing in scientific journals; demonstrated skills in scientific programming (Python preferred), workflow automation, and/or
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subject by the start date of the appointment Good programming skills (r, Fortran, Python) Familiarity with eco-evolutionary optimality approaches to modelling vegetation Experience with working with large
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the preparation of technology transfer and valorization steps. • Software development (Python, PsychoPy, real-time analysis and visualization tools). • Integration of acquisition modules (EEG, fMRI
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physics, and Brownian motion - Advanced experimental skills in ultra–low-noise measurements - Proficiency in data analysis with Matlab or Python - Practical knowledge in electronics, mechanics, optics