573 programming-"the"-"DAAD"-"U"-"IMPRS-ML"-"U.S"-"FEMTO-ST"-"UCL" positions in Denmark
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). The successful candidate will contribute to the Multilingual Privacy research project. This project aims to explore privacy in the realms of multilingual programs, with a particular focus on mitigating information
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of microbial biogeochemistry Proficiency in scientific programming and data analysis using tools such as Python, R, MATLAB, or similar Excellent written and verbal communication skills in English
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communicating research in magnetics for power electronics, while innovating in applications such as data centres, EVs, and wireless power systems. Establish outstanding, externally funded research programs
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teaching experience, teaching skills, and teaching philosophy a research plan detailing the candidate’s ideas and plans for her/his future research work If you experience technical problems, you must contact
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scientific computing and programming using Python. Good communication and language skills (the project language is English). Good teamworking skills (the project is carried out in a team of 4-6 people
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Computation), Formal methods, and willingness to enhance knowledge in several of the listed areas. Proficiency in programming skills (C/C++, Python, Rust, Solidity, Vyper, etc.) is preferable. Strong
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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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drive to advance dental research, particularly in relation to the development of a new degree programme structure aligned with the foundational pillars of dentistry. Future research activities will
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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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project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting