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laboratory work Knowledge of forest and marsh plants Proficiency in R, Python, or a similar programming language Experience in driving a van and trailer Ability to communicate and perform work tasks in Finnish
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of English language. Programming skills and/or experience with statistical software (especially R and Python) and remote sensing of the environment are considered an advantage, as is previous experience in
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Computing (HPC) environments, using relevant coding languages (e.g. Bash, R, python, snakemake etc.); publishing research articles in peer-reviewed journals; experience in international research collaboration
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technologies (e.g., SQL, MongoDB, MySQL, PostgreSQL), and preferably with at least one or more data-relevant programming languages/utilities (e.g., HTML5, CSS3, JavaScript, Python, etc.) (Required) Education
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, neuroscience, or a related field (industry postdoc counts) Additional Preferences: Proficiency in Python and deep experience with ML/Deep Learning frameworks (e.g., PyTorch, Tensorflow, JAX, HuggingFace). Hands
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. Knowledge of visual generation and multimodal LLM will be advantageous. Key Competencies Proficiency in programming languages (e.g., Python and C++), and familiarity with AI frameworks (e.g., PyTorch). Self
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. If necessary, the applicant selected for the position will be trained in indoor localization. § Good computing skills and proficiency in some programming languages, such as C/C++ and Python, and MATLAB is
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to apply Website https://iventajobdata.eu/bestmedia/img/2227418/1888829/cl/ec0572241a72cf5b584ef… Requirements Specific Requirements Your personal sphere of influence: The Department of Demography, a subunit
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orchestration such as Kubernetes. Proficiency in shell scripting. Experience with revision control systems such as Git. Proficiency in one or more programming languages such as Python or Ruby. Demonstrated
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? Not funded by a EU programme Reference Number AE2025-0571 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt