Fraunhofer IMTE · IMTE - Einrichtung für Individualisierte Medizintechnik

Student / Thesis

Masterarbeit: 3D Modellierung und Druckdatenerzeugung (all genders)

Das Fraunhofer IMTE bietet eine Masterarbeit in der Abteilung Therapie mit der Thematik: Weiterentwicklung einer Software zur effizienten Erzeugung von 3D-Druckdaten für komplexe Strukturen Im 3D-Druck werden Druckdaten klassischerweise aus dreiecksbasierten 3D-Modellen (z. B. STL-Format) erzeugt. Dieses Verfahren funktioniert für viele Anwendungen zuverlässig, stößt jedoch bei Strukturen mit hoher Oberflächenkomplexität – wie beispielsweise Scaffolds für das Tissue Engineering an seine Grenzen: Die resultierenden Dateien werden extrem groß, die Verarbeitung zeitintensiv und fehleranfällig.…

🇩🇪 Lübeck

No deadlineSource: Fraunhofer IMTE

Fraunhofer IMTE · IMTE - Einrichtung für Individualisierte Medizintechnik

Student / Thesis

Studentische Hilfskraft - Frontend-Entwicklung & UX-Design für Medizintechnik (all genders)

BEI UNS DREHT SICH ALLES UM DIE GESUNDHEIT – UND UNSERE MITARBEITENDEN. VERÄNDERUNG STARTET MIT UNS. Haben Sie Interesse an innovativer Medizintechnik? Bei der Fraunhofer-Einrichtung für Individualisierte Medizintechnik IMTE entwickeln wir Medizinprodukte für Diagnose- und Therapieanwendungen. Durch unsere offene, diverse und inklusive Forschungskultur fördern wir Innovationen, indem wir unterschiedliche Perspektiven und Erfahrungen einbeziehen. Wir bieten ein einzigartiges Leistungsportfolio für die Medizinprodukteindustrie und decken den gesamten Entwicklungsprozess ab – von der…

🇩🇪 Lübeck

No deadlineSource: Fraunhofer IMTE

Fraunhofer SIT · SIT - Secure Information Technology

Student / Thesis

Master's Thesis: Detection of Suggestive Poses and Facial Expressions

Background/Motivation: For the detection of erotic and pornographic images, models that can recognise human skin, body parts, or scenes are often used. With the help of appropriate datasets [1], classification and object detection models can be trained. However, there are also images that are obviously erotic or pornographic, but cannot be recognised by conventional methods. This applies, for example, to images in which erotic poses or partial sections of pornographic scenes can be recognised. Here, poses and facial expressions can be used for classification, among other things [2].…

🇩🇪 Darmstadt

No deadlineSource: Fraunhofer SIT

Fraunhofer SIT · SIT - Secure Information Technology

Student / Thesis

Master's Thesis: Detection and Segmentation of Suggestive Clothing

Background/Motivation: Models that can recognise human skin, body parts, or scenes are often used to detect erotic and pornographic material. With the help of appropriate datasets [1], classification and object detection models can be trained. However, there are also images that are obviously erotic or pornographic, but cannot be recognised by conventional methods. This applies, for example, to people in skin-tight latex or leather clothing. Existing approaches in the field of "Human Parsing" can already segment people and their clothing well. Additionally, datasets like Fashionpedia [2]…

🇩🇪 Darmstadt

No deadlineSource: Fraunhofer SIT

Fraunhofer SIT · SIT - Secure Information Technology

Student / Thesis

Master's Thesis: Attacking Current Backdoor Detection Methods

Background/Motivation: Backdoor attacks are attacks on neural networks where a so-called trigger alters the decision-making behaviour of the networks, thereby creating vulnerabilities. These triggers can be injected into the training dataset or directly into the model weights. These are then called poisoned. Due to parameter-efficient fine-tuning methods, backdoor attacks on large language models (LLMs) have become significantly more difficult to detect, as a poisoned parameter update is harder to recognise than a poisoned dataset. Therefore, several methods have been developed recently to…

🇩🇪 Darmstadt

No deadlineSource: Fraunhofer SIT

Fraunhofer SIT · SIT - Secure Information Technology

Student / Thesis

Master's Thesis: Explainability of Transformer Models in Authorship Verification

Background/Motivation: Authorship verification (AV) is used in areas such as forensics, plagiarism detection, and fake news detection to identify the true author of a text. The goal of authorship verification (AV) is to classify whether two or more texts were written by the same author (Y) or not (N). As in most AI fields today, the most powerful models are usually based on transformer architectures. While these continuously achieve new state-of-the-art results, the application of explainability methods is mostly limited to somewhat older models or architectures. This limits the applicability…

🇩🇪 Darmstadt

No deadlineSource: Fraunhofer SIT

Master's Thesis: Real-Time Stress Detection (all genders)

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Masterarbeit: 3D Modellierung und Druckdatenerzeugung (all genders)

Studentische Hilfskraft - Frontend-Entwicklung & UX-Design für Medizintechnik (all genders)

Master's Thesis: Detection of Suggestive Poses and Facial Expressions

Master's Thesis: Detection and Segmentation of Suggestive Clothing

Master's Thesis: Attacking Current Backdoor Detection Methods

Master's Thesis: Explainability of Transformer Models in Authorship Verification