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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
. Proficiency in programming and modern ML tooling (e.g., Python, PyTorch); experience with LLMs (e.g., using Hugging Face libraries) is a plus. Ability to reason about complex systems and turn ideas into code
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 10 days ago
in association or cooperation with one or more R&D units, or be enrolled at the date of signing the scholarship contract in a doctoral program; c) proficiency in Python and/or C++. Additional
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or related degree. Curiosity, resilience, and an interest in interdisciplinary, impact-driven research are essential. Experience with ecological fieldwork, data analysis (e.g., R or Python), or public
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background in applied mathematics, computational mathematics, computer science, physics, or engineering is suitable. Basic programming experience (e.g., C, C++, Julia, MATLAB, Python, or similar) is necessary
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, Psychology, or a related field, to be awarded before March 1st, 2026. Essential skills include an ability to code (e.g., Python, R) and interpret data, knowledge of machine learning and statistics, and a
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competence in programming with Python and working on Linux based platform is essential for this position. Further, we are looking for a doctoral candidate who meets the following requirements: A background and
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engineering, Physics, Life science, or a related field Familiarity with statistics and programing experience with Python Interest in studies on sleep in model organisms such as zebrafish Interest in
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techniques Programing experience (Matlab and/or Python) willingness to work with animal models general interest in interspecies / interdisciplinary studies Please send your completed application documents
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. Candidates must have proven ability to work with large datasets, coding with Python/Fortran/C++ and ideally experience with high-performance computing. Applicants from an industry background are encouraged
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for mathematics Experience with programming (e.g. Python, C++, CUDA etc.) Knowledge of information theory Good reasons to join: Look forward to a unique working environment on our international research campus