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processing and estimation. The content of the work will be relevant for your further course of study. We are looking for a student who: Has strong quantitative skills. Is proficient in R or Python. Can work
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Experience with VLSI design (Cadence tools, Verilog/VHDL, SPICE) Knowledge of neural networks and neuromorphic systems is a strong advantage Good programming skills (e.g., Python, MATLAB) and interest in
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, preferably Reinforcement Learning (e.g., Q-learning, Deep Q-Networks) or other control algorithms. Proficiency in Python, MATLAB, or similar for data analysis, modeling, or AI implementation. Strong written
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-years of work experience) related to data science, bioinformatics, computer science or within natural sciences Excellent programming skills, preferably in Python and/or R Good software engineering
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, urban or trade models. Proficiency in Stata. Knowledge of R, Matlab and/or Python. Prior experience in working with spatial data. Documented research track record at international level, including
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learning applied to operations and supply chain management Data-driven demand forecasting Inventory management Time-series modelling Required skills Fluency in either Python, R, or the like Should be able