Study attitudes toward entrepreneurship of people within the entrepreneurial ecosystem of people with disabilities and how they act as barriers or opportunities for self-employment of people with disabilities.

Na bazi dostupnih podataka o provedenim državnim revizijama (VRI FBiH) potrebno je kreirati bazu podataka o ključnim bilansnim pozicijama kao ulaznim vrijednostima te mišljenja državne revizije o kvaliteti finansijskih izvještaja kao izlaznoj vrijednosti. Na bazi data mininga kreirati putem algoritama za klasifikaciju ili stabla odlučivanja jednostavan model za detekciju crvenih zastavica. Primjenjivo u državnoj teviziji kao alat ali i na nivou civilnog sektora.

The project addresses a central challenge in embodied intelligence: enabling robots to interpret language instructions, ground them in visual observations, and execute coherent multi-step behaviors over extended temporal horizons. Recent advances in multimodal learning have led to strong progress in language-conditioned robotic control. However, long-horizon tasks remain challenging due to compounding errors, partial observability, delayed dependencies, and the need for robust subgoal reasoning, temporal abstraction, and recovery from failure. This internship focuses on learning-based approaches for building VLA systems that can support reliable sequential decision-making in complex robotic environments.

The project focuses on planning methods for robots that must solve complex, multi-step tasks in structured or semi-structured environments, potentially under visual and language-based task specifications. Long-horizon robotic problems require reasoning across multiple levels of abstraction, including task sequencing, symbolic consistency, geometric feasibility, and execution-aware replanning. Task and motion planning provides a principled framework for addressing these challenges by combining high-level symbolic reasoning with low-level motion generation and feasibility checking. This internship emphasizes AI planning methods, including search algorithms, PDDL-based modeling, and related approaches to sequential decision-making in robotics. Depending on the project scope, vision-language models (VLMs) may also be incorporated for semantic grounding, subgoal proposal, perception, or search guidance.

Cilj projekta je istražiti mogućnosti primjene vještačke inteligencije (AI) u nastavi fizike radi unapređenja kvaliteta učenja, povećanja motivacije učenika i razvoja STEM kompetencija. Projekat podrazumijeva korištenje AI alata za generisanje zadataka, objašnjavanje fizičkih pojava, analizu učeničkih grešaka i personalizaciju nastavnog procesa.

Metastatska bolest odgovorna je za preko 90% smrti od raka, ali genomske determinante koje određuju koji primarni tumori će metastazirati i u koje organe i dalje nisu dovoljno razjasnjene. Karcinom bubrega (RCC) je posebno pogodan model za ovu vrstu analize: pokazuje izrazito stereotipne obrasce diseminacije (pluća, kosti, mozak, jetra, limfni čvorovi) i ima dobro definisan skup driver/pokretačkih gena: VHL, PBRM1, BAP1, SETD2, KDM5C, MTOR.

When a robotic arm moves near a human, "we tested it and it worked" is not enough. Formal verification produces machine-checked proofs that a system satisfies its safety guarantees for all possible states, not just the ones you happened to try. This project asks one concrete question: can AI assistants meaningfully speed up the writing of formal proofs in control theory and robotics?

Every solar panel in a real installation is different from its neighbours at any given moment. Dust, partial shadow, aging, and temperature gradients all cause individual panels to produce less than their rated peak, and by different amounts at the same time. Getting the maximum available power out of the array as a whole is a harder problem than it looks.

Magnetic Colloidal Polymers (MCPs) are polymer-like mesostructures composed of permanently crosslinked magnetic nanoparticles (MNPs), encompassing systems with varied magnetic content, solvent affinity, and composition profiles. Similarly to chemical polymers, their self-assembly into superstructures can be controlled through solvent selectivity and backbone composition. The interplay of solvophilic, solvophobic, and magnetic interactions gives rise to complex self-assembly behaviour that can be manipulated with external magnetic fields, offering dynamic control and high spatial resolution [1].

Vještačka močvara Bistrik na području općine Kakanj predstavlja specifičan antropogeni ekosistem nastao ljudskim djelovanjem (rudarske aktivnosti, eksploatacija ili hidro-morfološke izmjene). Iako je vještačkog porijekla, ovaj lokalitet je s vremenom preuzeo ulogu sekundarnog refugijuma za brojne močvarne organizme, uključujući ptice, gmizavce, vodozemnce, makrofite i mikroskopske alge. Međutim, uslijed antropogenog pritiska, eutrofizacije i potencijalnog zagađenja teškim metalima ili otpadnim vodama, ekosistem se suočava sa vidljivom degradacijom. Ovaj projekat istražuje mogućnosti ekološke restauracije močvare Bistrik primjenom prirodom inspirisanih rješenja (Nature-based Solutions - NbS) i ekološkog inženjerstva.