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- 
                Field
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                in our group delves into the fundamental neural processes that influence eating behavior, energy expenditure, physical activity, glucose metabolism, all of which play pivotal roles in metabolic health 
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                the Job related to staff position within a Research Infrastructure? No Offer Description The LIG brings together nearly 450 researchers, lecturers, PhD students and research support staff. They belong 
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                Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative 
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                Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative 
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                processes and procedures in the PI laboratory. Assists in the acquisition and analysis of data. Supports PI’s plans, developments, and implementations of laboratory and research studies. Assists with 
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                English (written and spoken). The candidate must have a PhD degree in the field of food sciences. Selection process The selection methods to be used will be as follows: 1) Curriculum vitae evaluation and 
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                should have a PhD or foreign equivalent in a field such as developmental psychology, speech and hearing, or neuroscience. Strong oral and written communication skills and the ability to work as an 
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                , mass spectrometry, chromatography, etc.). Strong problem-solving skills, initiative, intellectual independence, and ability to plan and execute experiments. Excellent written and oral communication 
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                to investigate iconicity in spoken language – the idea that the sound of a word may convey its meaning – in both neurotypical people and people with aphasia. The successful candidate will have a PhD in a relevant 
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                of flotation process parameters based on experimental results. Work closely with a multidisciplinary team, including experts in mineral engineering, chemistry, and process optimization. Supervise MSc/PhD