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Computation (HPC) infrastructure • Excellent scientific infrastructure • Participation in project meetings and international conferences • Research stay abroad • Flexible working hours and various
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, software, and High Performance Computation (HPC) infrastructure; • Excellent scientific infrastructure; • Participation in project meetings and international conferences; • Flexible working hours
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working in high‑performance computing (HPC) environments, and prior experience with post-training, fine-tuning, or training large language models (LLMs) is an advantage, but not a requirement. Experience
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. The project has access to the national computing infrustracture, TU/e HPC cluster SPIKE-1 , ASML HPC cluster, ASML datasets, and potentially custom data through collaboration with e.g. IMEC. Where to apply
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, letters of recommendation, etc). What happens next? The assessment of potential candidates is made primarily based on academic results from bachelor degree and master degree studies. Short-listed applicants
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(uncertainty estimations) and regression models applied to the estimation of forest variables using forest inventory and remotely sensed auxiliary data; - Experience High-Performance Computing (HPC) environment