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of PhD and MSc students, teaching and supporting in acquiring funds for future research projects from research funding agencies/councils, EU framework program or industry. Qualifications Eligibility
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for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will
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required to have a PhD degree or a foreign degree that is deemed equivalent in Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experiences in
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supervising PhD students and other team members. You will fulfil a limited number of teaching activities in the Master’s program in International Relations and Diplomacy. You will participate in the provision
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qualified applicants to apply regardless of their personal background. Project Since the beginning of the 21st century, scientists, policymakers, and social movements have been increasingly embracing a vision
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Mohadeseh Taheri-Mousavi’s group. The postdoc will develop and conduct advanced machine learning techniques combined with computational research to study the mechanical behavior of welds. Responsibilities
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. Required Qualifications Education: PhD or equivalent in demography, sociology, epidemiology, public health, or other health research-focused social science. Students currently enrolled in a doctoral program
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recommended. Qualifications Required Education: PhD in relevant field Required Special Knowledge, Skills, and Abilities: Basic knowledge in the life sciences, with particular emphasis on molecular biology
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use your skills to answer fundamental biological questions in health and disease. The successful candidate is expected to leverage their skills in proteomics and computational analysis to interrogate
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Laboratory in the ‘Digital Innovation Facility’ at the University of Liverpool. You will possess, or be close to completing, a PhD in Electrical Engineering / Electronics / Computer Science or a relevant