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during sitting, walking, running or performing sports; or (ii) generative machine-learning models for physiologically realistic avatar construction from image or point-cloud data. Qualifications
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Master’s degree (120 ECTS) or equivalent in in Demography, Economics, Sociology, Health Economics, Psychology, or other relevant field of study. Grade point average of A or B on the ECTS scale in
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completed a Master’s degree (120 ECTS) or equivalent in in Demography, Economics, Sociology, Health Economics, Psychology, or other relevant field of study. Grade point average of A or B on the ECTS scale in
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that make you a good fit for the position for which you are applying 3. CV: it must clearly indicate your periods of education, qualifications achieved, work experience (if applicable), research experience
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must clearly indicate your periods of education, qualifications achieved, work experience (if applicable), research experience (if applicable), and publications (if applicable) Scanned copy of a valid ID
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placed on academic qualifications, the candidate’s motivation, and personal suitability. Interviews will be performed as part of the selection process. Application with attachments must be submitted via
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. The fellowship is devoted to carrying out the DC1 (DC=Doctoral Candidate) "Neural processing of scream calls and rough sounds". The research fellow will be enrolled in the PhD program at the Department
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placed on academic qualifications, the candidate’s motivation, and personal suitability. Interviews will be performed as part of the selection process. Application with attachments must be submitted via
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knowledge in order to understand normal processes, provide insight into mechanisms that cause illness, and promote good health. The Institute is responsible for teaching in basic medical sciences
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experience with mental health research is an advantage. Proficiency in executing computationally intensive analyses on high-performance computing systems, including job scheduling, parallel processing, and