290 programming-"the"-"DAAD"-"IMPRS-ML"-"UCL"-"O.P"-"U"-"https:"-"CSIC" positions in Denmark
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experience or knowledge with one or more of the following topics: Proficiency in parallel programming languages (e.g., MPI, OpenMP, CUDA, HIP) and familiarity with HPC software ecosystems and libraries and
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of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and
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of neural network architectures (as a plus: PINNs, neural operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing
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and teaching collaboration, such as membership of different boards, councils and committees, course lead or head of study programme. The teaching and administrative obligation for academic staff is
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research activities within the Initiative for Biofertilizer Science and Innovation (IBIS) at DTU (www.ibis.dtu.dk ). IBIS is an international, multidisciplinary research program dedicated to developing
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. Strong background in Linux systems. Programming skills (e.g. in Go, C, C++, bash, …). Proven ability to work productively both independently and as part of an interdisciplinary team balancing divergent
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simulation of circuits in QSpice and LTSpice and programming of design tools using C and Phyton. The hardware test platforms are controlled by microcontrollers and it is needed to program the microcontrollers
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of the Marie Skłodowska-Curie program, the applicant must not have resided or carried out their main activity (work, studies, etc.) in Denmark for more than 12 months in the 36 months immediately before their
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research plan, the grade of the assessment and the impressions during a prospective job interview. Furthermore, the applicant’s expected level of contribution to the department’s further development will be
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your particular niche will be part of the position. The group has a very strong infrastructure and internal teaching program and covers multiple areas of pharmacoepidemiology, including method