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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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development of AI and avoiding its misuse. These issues might be exacerbated by the lack of formal guarantees in explaining the behavior of AI systems in terms of human-interpretable, high-level concepts. While
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employing advanced theoretical models and sophisticated experimental methods. Key properties of atomic and molecular anions and their interactions with other particles will be investigated to fully describe
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methods with clients, co-workers, and other ITCS teams. Delivery methods will include web page, service management knowledge base, documents, and formal and informal training sessions, administrative duties
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). The indicative research theme includes, but is not limited to, natural language understanding and generation, multilingual and low-resource language technologies, human-centred and explainable AI methods
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directly by the FCT, I.P. in the country (https://www.fct.pt/apoios/bolsas/valores ). The period of payment of the scholarship is monthly and through bank deposit, check or another equivalent method
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coding abilities, including skills in statistical analysis (e.g., R), computational methods (e.g., NLP methods), programming (e.g., Python), online research tools (e.g., Qualtrics) Strong interpersonal
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. The calculations will involve the use of both deterministic and probabilistic methods Preparation of memoranda for control of compliance with EU maximum residue limits for pesticide residues in food in connection
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evacuation routes. 9 - Location Workplace: LNEC – National Laboratory for Civil Engineering, I.P. Avenida do Brasil, 101 – 1700-066 Lisboa Country: Portugal Website: https://www.lnec.pt Email: recrutamento
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FMUP | 1 (ONE) RESEARCH GRANT | ''BEST-COST" PROJECT (REF. HORIZON-HLTH-2022-ENVHLTH-04)'' | Pr. 412
February 18th, 2026 (23:59 - Lisbon). 11.2. The candidates must be formalized using the online application submission system available on the FMUP website: https://sigarra.up.pt/fmup/pt