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Field
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science and machine learning Knowledge with Python or Matlab. Application process Please send your CV, academic transcripts and brief rationale why you want to join this research project via the HDR
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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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/intermediate programming skills in R and/or python Ability to adapt to the research environments while being full members of two labs Desirable skills statistical analysis basic processing of NGS data experience
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use other programmes, such as Python, Stata, or SAS. Application deadline Please check the HDS PhD website in autumn 2025 for updated information on 2026 HDS PhD programme admissions. The application
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(e.g. Unix environment, Python programming or other programming languages) will be given priority. Language requirements The IMPRS-ESM offers an English PhD programme. Applicants must possess a high
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Python. Strong interest in combining computational and experimental chemistry. Excellent knowledge of written and spoken English. Excellent communication skills, especially for collaborating with others
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the programming language Python. Experience in computational chemistry. Basic knowledge about homogeneous catalysis. Strong interest in combining computational and experimental chemistry. Excellent knowledge
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, advanced programming in Python) in small classes of max. 10 participants. Lecture series: QMB students suggest, invite, and host external speakers at this event. The lectures on QMB-relevant topics
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-varying signals (e.g., acoustic signals, movement tracking). Coding experience (e.g, MATLAB or Python). Intrinsic motivation to conduct research in the topic of the project. Committed to working
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packages and tools (e.g., Numpy, Pytorch, Tensorflow, ART). You have knowledge or familiarity with reverse engineering tools (e.g. NSA Ghidra, IDA Pro) You have experience with Python, C/C++, or low-level