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, energy systems optimisation, techno-economic forecasting, or agent-based modelling proficiency in scientific programming (preferably Julia, Python, or MATLAB) competence in data analysis and probabilistic
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, industrial decarbonisation, energy economics, or a related discipline demonstrated expertise in energy systems modelling, energy systems optimisation, techno-economic forecasting, or agent-based modelling
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. • Familiarity with agent-based and compartmental models for infectious diseases. The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience. Applicants
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mathematics) or should be close to submitting their PhD thesis. They should also have experience in handling longitudinal data and conducting microsimulation or agent-based modelling. Good communication and
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will have: A PhD degree in Biomaterials or equivalent, preferably in the field of nanocarriers for the delivery of therapeutics agents. Previous experience of working as an effective member of a research
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on the development of a 4D injectable hydrogels for the treatment of deep wounds; so-called tunnel wounds. The CRMD team will be responsible for the design and development of peptide-based nanocarriers
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. Proven expertise in AI/ML for systems or hardware co-design, including use of reinforcement learning, LLMs, graph-based optimization, or agentic AI. Familiarity with security concepts and cryptographic
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, Biochemistry, and be enrolled in a PhD or a non-degree course, relevant for the development of the activities included in the project. Knowledge in different cell culture models (e.g. cell lines, primary
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» Biotechnology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Portugal Application Deadline 1 Oct 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours
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Language Model (LLM) Strong biostatistics knowledge including survival analysis and causal inference Experience with reinforcement learning, agentic AI systems and autonomous decision-making frameworks Data