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Field
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differentiation of mESCs and/or hESCs. • Advanced imaging techniques: confocal microscopy, immunofluorescence. • Molecular biology techniques: cloning • Experience in data analysis (Fiji, Python, etc.) Website for
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management/administration processes Desirable Experience working with Drosophila, live calcium imaging, Matlab/Python programming and/or behaviour A good publication record in neuroscience. Further details
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). Previous experience processing imaging data from unmanned aerial vehicle (UAV) is desired. Expertise with R or Python will be valued. Previous experience conducting agronomic field experiments is preferred
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or edge AI deployment. Strong programming skills in C, C++, and Python, with experience in deep learning frameworks such as PyTorch or TensorFlow. Familiarity with deployment constraints on cloud, edge
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knowledge of relevant machine learning and AI techniques Proven scientific excellence as evidenced by strong scientific publications and track record relative to career stage Strong programming skills (Python
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. Experience in process modelling and simulation (e.g., Aspen, Modelica, MATLAB, Python). Strong understanding of heat exchangers, thermal loops, and multi-physics systems. Experience in techno-economic analysis
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(e.g., Python) and machine learning tools (e.g., PyTorch) Entry level candidates are welcome to apply We regret to inform you that only shortlisted candidates will be notified. Hiring Institution: NTU
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students in the group Job Requirements: PhD degree in microbiology, bioinformatics, computational biology or a related field. Expertise in python, linux and HPC. Have experience in conducting wet-lab
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and deploy advanced deep learning and foundation models for surgical scene understanding segmentation, tracking, and operator assistance. You will write, test, and optimise Python and C++ code for real
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.) Data analysis and statistics (R, Python) Qualified applicants should send their CV, a statement of research interests and the contact information of two referees before March 9 to david.bikard@pasteur.fr