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, machine learning, Experience in human electrophysiological research is a plus, experience in intracranial human research large plus, Knowledge of cognitive system is a plus, knowledge of neuronal basis
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the 1st cycle and/or 2nd cycle studies, in particular in the subject areas connected with international and national security, international military relations and defence policy, ability to conduct classes
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and organizational work; Have proficient computer skills, including knowledge of applications for conducting distance learning classes; REQUIRED DOCUMENTS: 1. Application form to the Rector
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proficient computer skills, including knowledge of applications for conducting distance learning classes; REQUIRED DOCUMENTS: 1. Application form to the Rector of The University College of Applied Sciences in
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bio materials and porous materials PhD student candidate 2 with background in computer science, AI, machine learning or related fields with the experience in CFD, ANSYS, COMSOL The successful candidates
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; - knowledge of logistics management and the use of IT systems in logistics; - fluent knowledge of Polish and English at a minimum B2 level enabling teaching; - readiness to teach full-time and part-time courses
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on knowledge retrieval and interactive, interpretable machine learning to increase the efficiency of the drug discovery process. The developed tool will be able to analyze images of cellular events, such as
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. Experience with machine learning methods (e.g., LLM, variational autoencoders, diffusion models) and/or with managing and querying large biological databases is a strong plus. Project Title (in the case
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articles, • Ability and availability to teach with students at both stationary and non-stationary form, • Knowledge of ESKO software, knowledge of other software including graphic packages is welcome
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intelligence, machine learning or related fields; Proven experience in research work on AI models, in particular in the field of explainable AI, synthetic data generation or model testing; Proficiency in