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Python and PyTorch Assist in dataset preparation, preprocessing, and augmentation Run training and evaluation pipelines Analyze experimental results and document findings Collaborate closely with graduate
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Python and PyTorch Assist in dataset preparation, preprocessing, and augmentation Run training and evaluation pipelines Analyze experimental results and document findings Collaborate closely with graduate
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or Python Can work independently and demonstrate critical thinking This is a part-time position with flexible working hours. The estimated workload is 10 hours per week. The expected start date is 1 April
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or Python Demonstrated organisational and administrative skills with the ability to prioritise tasks Demonstrated effectiveness in both written and oral communication skills demonstrating appropriate
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software. Experience programming with MATLAB, C++, or Python. Experience in modeling electric motors and electromagnetics. Hands-on experience designing and fabricating electric motors. Strong knowledge
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(Python, C) and computer-aided omics approaches (transcriptomics, RNA imaging), as well as pathway modeling, are highly desirable. Specific Requirements Microscopy (live and fixed tissues); computer-aided
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, or machine learning Solid mathematical and physics background, distinct analytical skills Very good programming (Python, C++) and computer (Linux, Windows) skills Excellent cooperation and communication skills
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field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Prior experience with single-cell data analysis
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machine learning, deep learning, or AI. Solid mathematical, algorithmic, or physics background, distinct analytical skills. Very good programming (Python, C++) and computer (Linux, Windows) skills
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, JuMP, GAMS, AMPL, CPLEX, Gurobi etc. Demonstrated experience implementing algorithms with Python, Julia, or other major language Preferred Qualifications Experience with Pyomo and/or JuMP. Experience